This document discusses myths involving twins across various cultures. Some key points:
- Twin myths often involve themes of duality, opposition, and the union or sacrifice of one twin.
- European myths emphasize twin similarity leading to identity, while North American myths stress difference requiring co-existence.
- Many foundation myths involve the sacrifice of one twin preceding a city's founding, representing consciousness.
- Examples given include the twins Romulus and Remus, and the Greek twins Amphion and Zethus.
- Opposite sex twins like Apollo and Artemis represent cultural/instinctual opposites that are often assimilated rather than one being sacrificed.
What is TensorFlow? | Introduction to TensorFlow | TensorFlow Tutorial For Be...Simplilearn
This presentation on TensorFlow will help you in understanding what exactly is TensorFlow and how it is used in Deep Learning. TensorFlow is a software library developed by Google for the purposes of conducting machine learning and deep neural network research. In this tutorial, you will learn the fundamentals of TensorFlow concepts, functions, and operations required to implement deep learning algorithms and leverage data like never before. This TensorFlow tutorial is ideal for beginners who want to pursue a career in Deep Learning. Now, let us deep dive into this TensorFlow tutorial and understand what TensorFlow actually is and how to use it.
Below topics are explained in this TensorFlow presentation:
1. What is Deep Learning?
2. Top Deep Learning Libraries
3. Why TensorFlow?
4. What is TensorFlow?
5. What are Tensors?
6. What is a Data Flow Graph?
7. Program Elements in TensorFlow
8. Use case implementation using TensorFlow
Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist.
Why Deep Learning?
It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks.
You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build deep learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks
6. Troubleshoot and improve deep learning models
7. Build your own deep learning project
8. Differentiate between machine learning, deep learning and artificial intelligence
Learn more at: https://www.simplilearn.com
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2019-alliance-vitf-facebook
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Joseph Spisak, Product Manager at Facebook, delivers the presentation "PyTorch Deep Learning Framework: Status and Directions" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Spisak gives an update on the Torch deep learning framework and where it’s heading.
TensorFlow is an open source software library for machine learning developed by Google. It provides primitives for defining functions on tensors and automatically computing their derivatives. TensorFlow represents computations as data flow graphs with nodes representing operations and edges representing tensors. It is widely used for neural networks and deep learning tasks like image classification, language processing, and speech recognition. TensorFlow is portable, scalable, and has a large community and support for deployment compared to other frameworks. It works by constructing a computational graph during modeling, and then executing operations by pushing data through the graph.
The document describes the structure and functioning of a feedforward neural network. It notes that the network contains an input layer with n-dimensional vectors, L-1 hidden layers with n neurons each, and an output layer with k neurons. Each neuron has a pre-activation and activation value. The pre-activation at layer i is the weighted sum of outputs from layer i-1 plus a bias. The activation is this pre-activation passed through an activation function. Backpropagation is used to minimize a loss function through gradient descent to learn the network's weights and biases parameters.
Introduction to Deep Learning, Keras, and TensorFlowSri Ambati
This meetup was recorded in San Francisco on Jan 9, 2019.
Video recording of the session can be viewed here: https://youtu.be/yG1UJEzpJ64
Description:
This fast-paced session starts with a simple yet complete neural network (no frameworks), followed by an overview of activation functions, cost functions, backpropagation, and then a quick dive into CNNs. Next, we'll create a neural network using Keras, followed by an introduction to TensorFlow and TensorBoard. For best results, familiarity with basic vectors and matrices, inner (aka "dot") products of vectors, and rudimentary Python is definitely helpful. If time permits, we'll look at the UAT, CLT, and the Fixed Point Theorem. (Bonus points if you know Zorn's Lemma, the Well-Ordering Theorem, and the Axiom of Choice.)
Oswald's Bio:
Oswald Campesato is an education junkie: a former Ph.D. Candidate in Mathematics (ABD), with multiple Master's and 2 Bachelor's degrees. In a previous career, he worked in South America, Italy, and the French Riviera, which enabled him to travel to 70 countries throughout the world.
He has worked in American and Japanese corporations and start-ups, as C/C++ and Java developer to CTO. He works in the web and mobile space, conducts training sessions in Android, Java, Angular 2, and ReactJS, and he writes graphics code for fun. He's comfortable in four languages and aspires to become proficient in Japanese, ideally sometime in the next two decades. He enjoys collaborating with people who share his passion for learning the latest cool stuff, and he's currently working on his 15th book, which is about Angular 2.
This document provides instructions for setting up and attending an eBPF workshop. It includes links for setting up the workshop platform, background slides, and code repository. It also lists an agenda with topics that will be covered, including setting up the eBPF lab, an introduction, eBPF 101, writing eBPF programs, BCC, and a tutorial. Attendees are asked to let the presenter know if they have any problems setting up.
TensorFlow에 대한 분석 내용
- TensorFlow?
- 배경
- DistBelief
- Tutorial - Logistic regression
- TensorFlow - 내부적으로는
- Tutorial - CNN, RNN
- Benchmarks
- 다른 오픈 소스들
- TensorFlow를 고려한다면
- 설치
- 참고 자료
This document provides an overview and introduction to TensorFlow. It describes that TensorFlow is an open source software library for numerical computation using data flow graphs. The graphs are composed of nodes, which are operations on data, and edges, which are multidimensional data arrays (tensors) passing between operations. It also provides pros and cons of TensorFlow and describes higher level APIs, requirements and installation, program structure, tensors, variables, operations, and other key concepts.
What is TensorFlow? | Introduction to TensorFlow | TensorFlow Tutorial For Be...Simplilearn
This presentation on TensorFlow will help you in understanding what exactly is TensorFlow and how it is used in Deep Learning. TensorFlow is a software library developed by Google for the purposes of conducting machine learning and deep neural network research. In this tutorial, you will learn the fundamentals of TensorFlow concepts, functions, and operations required to implement deep learning algorithms and leverage data like never before. This TensorFlow tutorial is ideal for beginners who want to pursue a career in Deep Learning. Now, let us deep dive into this TensorFlow tutorial and understand what TensorFlow actually is and how to use it.
Below topics are explained in this TensorFlow presentation:
1. What is Deep Learning?
2. Top Deep Learning Libraries
3. Why TensorFlow?
4. What is TensorFlow?
5. What are Tensors?
6. What is a Data Flow Graph?
7. Program Elements in TensorFlow
8. Use case implementation using TensorFlow
Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist.
Why Deep Learning?
It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks.
You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build deep learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks
6. Troubleshoot and improve deep learning models
7. Build your own deep learning project
8. Differentiate between machine learning, deep learning and artificial intelligence
Learn more at: https://www.simplilearn.com
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2019-alliance-vitf-facebook
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Joseph Spisak, Product Manager at Facebook, delivers the presentation "PyTorch Deep Learning Framework: Status and Directions" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Spisak gives an update on the Torch deep learning framework and where it’s heading.
TensorFlow is an open source software library for machine learning developed by Google. It provides primitives for defining functions on tensors and automatically computing their derivatives. TensorFlow represents computations as data flow graphs with nodes representing operations and edges representing tensors. It is widely used for neural networks and deep learning tasks like image classification, language processing, and speech recognition. TensorFlow is portable, scalable, and has a large community and support for deployment compared to other frameworks. It works by constructing a computational graph during modeling, and then executing operations by pushing data through the graph.
The document describes the structure and functioning of a feedforward neural network. It notes that the network contains an input layer with n-dimensional vectors, L-1 hidden layers with n neurons each, and an output layer with k neurons. Each neuron has a pre-activation and activation value. The pre-activation at layer i is the weighted sum of outputs from layer i-1 plus a bias. The activation is this pre-activation passed through an activation function. Backpropagation is used to minimize a loss function through gradient descent to learn the network's weights and biases parameters.
Introduction to Deep Learning, Keras, and TensorFlowSri Ambati
This meetup was recorded in San Francisco on Jan 9, 2019.
Video recording of the session can be viewed here: https://youtu.be/yG1UJEzpJ64
Description:
This fast-paced session starts with a simple yet complete neural network (no frameworks), followed by an overview of activation functions, cost functions, backpropagation, and then a quick dive into CNNs. Next, we'll create a neural network using Keras, followed by an introduction to TensorFlow and TensorBoard. For best results, familiarity with basic vectors and matrices, inner (aka "dot") products of vectors, and rudimentary Python is definitely helpful. If time permits, we'll look at the UAT, CLT, and the Fixed Point Theorem. (Bonus points if you know Zorn's Lemma, the Well-Ordering Theorem, and the Axiom of Choice.)
Oswald's Bio:
Oswald Campesato is an education junkie: a former Ph.D. Candidate in Mathematics (ABD), with multiple Master's and 2 Bachelor's degrees. In a previous career, he worked in South America, Italy, and the French Riviera, which enabled him to travel to 70 countries throughout the world.
He has worked in American and Japanese corporations and start-ups, as C/C++ and Java developer to CTO. He works in the web and mobile space, conducts training sessions in Android, Java, Angular 2, and ReactJS, and he writes graphics code for fun. He's comfortable in four languages and aspires to become proficient in Japanese, ideally sometime in the next two decades. He enjoys collaborating with people who share his passion for learning the latest cool stuff, and he's currently working on his 15th book, which is about Angular 2.
This document provides instructions for setting up and attending an eBPF workshop. It includes links for setting up the workshop platform, background slides, and code repository. It also lists an agenda with topics that will be covered, including setting up the eBPF lab, an introduction, eBPF 101, writing eBPF programs, BCC, and a tutorial. Attendees are asked to let the presenter know if they have any problems setting up.
TensorFlow에 대한 분석 내용
- TensorFlow?
- 배경
- DistBelief
- Tutorial - Logistic regression
- TensorFlow - 내부적으로는
- Tutorial - CNN, RNN
- Benchmarks
- 다른 오픈 소스들
- TensorFlow를 고려한다면
- 설치
- 참고 자료
This document provides an overview and introduction to TensorFlow. It describes that TensorFlow is an open source software library for numerical computation using data flow graphs. The graphs are composed of nodes, which are operations on data, and edges, which are multidimensional data arrays (tensors) passing between operations. It also provides pros and cons of TensorFlow and describes higher level APIs, requirements and installation, program structure, tensors, variables, operations, and other key concepts.
요즘 Image관련 Deep learning 관련 논문에서 많이 나오는
용어인 Invariance와 Equivariance의 차이를 알기쉽게 설명하는 자료를 만들어봤습니다. Image의 Transformation에 대해
Equivariant한 feature를 만들기 위하여 제안된 Group equivariant Convolutional. Neural Networks 와 Capsule Nets에 대하여 설명
This document provides an agenda for a presentation on deep learning, neural networks, convolutional neural networks, and interesting applications. The presentation will include introductions to deep learning and how it differs from traditional machine learning by learning feature representations from data. It will cover the history of neural networks and breakthroughs that enabled training of deeper models. Convolutional neural network architectures will be overviewed, including convolutional, pooling, and dense layers. Applications like recommendation systems, natural language processing, and computer vision will also be discussed. There will be a question and answer section.
TensorRT is an NVIDIA tool that optimizes and accelerates deep learning models for production deployment. It performs optimizations like layer fusion, reduced precision from FP32 to FP16 and INT8, kernel auto-tuning, and multi-stream execution. These optimizations reduce latency and increase throughput. TensorRT automatically optimizes models by taking in a graph, performing optimizations, and outputting an optimized runtime engine.
Deep Learning Tutorial | Deep Learning Tutorial for Beginners | Neural Networ...Edureka!
This Edureka "Deep Learning Tutorial" (Blog: https://goo.gl/4zxMfU) will help you to understand about Deep Learning concepts in detail with multiple examples using TensorFlow. This Deep Learning tutorial is ideal for beginners who want to learn about deep learning, artificial intelligence, neural networks, tensorflow from scratch. Below are the topics covered in this tutorial:
1. What Is Deep Learning?
2. How Deep Learning Works?
3. Single Layer Perceptron (Early Deep Learning Models)
4. Single Layer Perceptron Examples
5. Limitations Of Single Layer Perceptron
6. Multi Layer Perceptron
7. Multi Layer Perceptron Examples
8. Demo on Deep Learning With TensorFlow
This document provides an overview of deep learning and neural networks. It begins with definitions of machine learning, artificial intelligence, and the different types of machine learning problems. It then introduces deep learning, explaining that it uses neural networks with multiple layers to learn representations of data. The document discusses why deep learning works better than traditional machine learning for complex problems. It covers key concepts like activation functions, gradient descent, backpropagation, and overfitting. It also provides examples of applications of deep learning and popular deep learning frameworks like TensorFlow. Overall, the document gives a high-level introduction to deep learning concepts and techniques.
An introduction to Keras, a high-level neural networks library written in Python. Keras makes deep learning more accessible, is fantastic for rapid protyping, and can run on top of TensorFlow, Theano, or CNTK. These slides focus on examples, starting with logistic regression and building towards a convolutional neural network.
The presentation was given at the Austin Deep Learning meetup: https://www.meetup.com/Austin-Deep-Learning/events/237661902/
TensorFlow and Keras are popular deep learning frameworks. TensorFlow is an open source library for numerical computation using data flow graphs. It was developed by Google and is widely used for machine learning and deep learning. Keras is a higher-level neural network API that can run on top of TensorFlow. It focuses on user-friendliness, modularization and extensibility. Both frameworks make building and training neural networks easier through modular layers and built-in optimization algorithms.
The Open vSwitch kernel datapath may have flows offloaded to hardware using the TC Flower classifier and related actions. This is a powerful mechanism to both increase throughput and reduce CPU utilisation. This presentation will give an overview of the evolution of this offload mechanism: features available in OvS v2.8, those targeted at v2.9 and possible future directions.
Deep learning is introduced along with its applications and key players in the field. The document discusses the problem space of inputs and outputs for deep learning systems. It describes what deep learning is, providing definitions and explaining the rise of neural networks. Key deep learning architectures like convolutional neural networks are overviewed along with a brief history and motivations for deep learning.
This document discusses fuzzy regression models. It begins by introducing fuzzy regression and its motivation for addressing situations where classical regression is problematic, such as small data sets or vagueness in relationships. It then defines the components of fuzzy regression models, including fuzzy coefficients represented by triangular membership functions. Two approaches to fuzzy regression are explored: Tanaka's possibilistic regression which minimizes coefficient fuzziness, and fuzzy least squares regression. The document uses a sample data set to illustrate key concepts throughout.
Introduction to Machine Learning with TensorFlowPaolo Tomeo
This document introduces TensorFlow, an open source machine learning library for deep learning. It discusses how TensorFlow uses data flow graphs to optimize objective functions and allows computation across CPU and GPU devices. It provides an example of classifying the Iris dataset using TensorFlow's high-level tf.contrib.learn API. It concludes with pointers to additional TensorFlow tutorials and guides.
PyTorch Python Tutorial | Deep Learning Using PyTorch | Image Classifier Usin...Edureka!
( ** Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** )
This Edureka PyTorch Tutorial (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of PyTorch. It also includes a use-case in which we will create an image classifier that will predict the accuracy of an image data-set using PyTorch.
Below are the topics covered in this tutorial:
1. What is Deep Learning?
2. What are Neural Networks?
3. Libraries available in Python
4. What is PyTorch?
5. Use-Case of PyTorch
6. Summary
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects.we'll preprocess the images, then train a convolutional neural network on all the samples. The images need to be normalized and the labels need to be one-hot encoded.
** AI & Deep Learning Using TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka tutorial will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with the details on how to use Tensorflow to detect objects in deep learning method. Below are the topics covered in this tutorial:
1. What is Object Detection?
2. Industrial use of Object Detection
3. Object Detection Workflow
4. What is Tensorflow?
5. Object Detection using Tensorflow - Demo
6. Live Object Detection using Tensorflow- Demo
The document provides an overview of deep learning, including its past, present, and future. It discusses the concepts of artificial general intelligence, artificial superintelligence, and predictions about their development from experts like Hawking, Musk, and Gates. Key deep learning topics are summarized, such as neural networks, machine learning approaches, important algorithms and researchers, and how deep learning works.
Artificial neural networks (ANNs) or connectionist systems are a computational model used in machine learning, computer science and other research disciplines, which is based on a large collection of connected simple units called artificial neurons, loosely analogous to axons in a biological brain. Connections between neurons carry an activation signal of varying strength. If the combined incoming signals are strong enough, the neuron becomes activated and the signal travels to other neurons connected to it. Such systems can be trained from examples, rather than explicitly programmed, and excel in areas where the solution or feature detection is difficult to express in a traditional computer program. Like other machine learning methods, neural networks have been used to solve a wide variety of tasks, like computer vision and speech recognition, that are difficult to solve using ordinary rule-based programming.
Find me on:
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The release of TensorFlow 2.0 comes with a significant number of improvements over its 1.x version, all with a focus on ease of usability and a better user experience. We will give an overview of what TensorFlow 2.0 is and discuss how to get started building models from scratch using TensorFlow 2.0’s high-level api, Keras. We will walk through an example step-by-step in Python of how to build an image classifier. We will then showcase how to leverage a transfer learning to make building a model even easier! With transfer learning, we can leverage other pretrained models such as ImageNet to drastically speed up the training time of our model. TensorFlow 2.0 makes this incredibly simple to do.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
요즘 Image관련 Deep learning 관련 논문에서 많이 나오는
용어인 Invariance와 Equivariance의 차이를 알기쉽게 설명하는 자료를 만들어봤습니다. Image의 Transformation에 대해
Equivariant한 feature를 만들기 위하여 제안된 Group equivariant Convolutional. Neural Networks 와 Capsule Nets에 대하여 설명
This document provides an agenda for a presentation on deep learning, neural networks, convolutional neural networks, and interesting applications. The presentation will include introductions to deep learning and how it differs from traditional machine learning by learning feature representations from data. It will cover the history of neural networks and breakthroughs that enabled training of deeper models. Convolutional neural network architectures will be overviewed, including convolutional, pooling, and dense layers. Applications like recommendation systems, natural language processing, and computer vision will also be discussed. There will be a question and answer section.
TensorRT is an NVIDIA tool that optimizes and accelerates deep learning models for production deployment. It performs optimizations like layer fusion, reduced precision from FP32 to FP16 and INT8, kernel auto-tuning, and multi-stream execution. These optimizations reduce latency and increase throughput. TensorRT automatically optimizes models by taking in a graph, performing optimizations, and outputting an optimized runtime engine.
Deep Learning Tutorial | Deep Learning Tutorial for Beginners | Neural Networ...Edureka!
This Edureka "Deep Learning Tutorial" (Blog: https://goo.gl/4zxMfU) will help you to understand about Deep Learning concepts in detail with multiple examples using TensorFlow. This Deep Learning tutorial is ideal for beginners who want to learn about deep learning, artificial intelligence, neural networks, tensorflow from scratch. Below are the topics covered in this tutorial:
1. What Is Deep Learning?
2. How Deep Learning Works?
3. Single Layer Perceptron (Early Deep Learning Models)
4. Single Layer Perceptron Examples
5. Limitations Of Single Layer Perceptron
6. Multi Layer Perceptron
7. Multi Layer Perceptron Examples
8. Demo on Deep Learning With TensorFlow
This document provides an overview of deep learning and neural networks. It begins with definitions of machine learning, artificial intelligence, and the different types of machine learning problems. It then introduces deep learning, explaining that it uses neural networks with multiple layers to learn representations of data. The document discusses why deep learning works better than traditional machine learning for complex problems. It covers key concepts like activation functions, gradient descent, backpropagation, and overfitting. It also provides examples of applications of deep learning and popular deep learning frameworks like TensorFlow. Overall, the document gives a high-level introduction to deep learning concepts and techniques.
An introduction to Keras, a high-level neural networks library written in Python. Keras makes deep learning more accessible, is fantastic for rapid protyping, and can run on top of TensorFlow, Theano, or CNTK. These slides focus on examples, starting with logistic regression and building towards a convolutional neural network.
The presentation was given at the Austin Deep Learning meetup: https://www.meetup.com/Austin-Deep-Learning/events/237661902/
TensorFlow and Keras are popular deep learning frameworks. TensorFlow is an open source library for numerical computation using data flow graphs. It was developed by Google and is widely used for machine learning and deep learning. Keras is a higher-level neural network API that can run on top of TensorFlow. It focuses on user-friendliness, modularization and extensibility. Both frameworks make building and training neural networks easier through modular layers and built-in optimization algorithms.
The Open vSwitch kernel datapath may have flows offloaded to hardware using the TC Flower classifier and related actions. This is a powerful mechanism to both increase throughput and reduce CPU utilisation. This presentation will give an overview of the evolution of this offload mechanism: features available in OvS v2.8, those targeted at v2.9 and possible future directions.
Deep learning is introduced along with its applications and key players in the field. The document discusses the problem space of inputs and outputs for deep learning systems. It describes what deep learning is, providing definitions and explaining the rise of neural networks. Key deep learning architectures like convolutional neural networks are overviewed along with a brief history and motivations for deep learning.
This document discusses fuzzy regression models. It begins by introducing fuzzy regression and its motivation for addressing situations where classical regression is problematic, such as small data sets or vagueness in relationships. It then defines the components of fuzzy regression models, including fuzzy coefficients represented by triangular membership functions. Two approaches to fuzzy regression are explored: Tanaka's possibilistic regression which minimizes coefficient fuzziness, and fuzzy least squares regression. The document uses a sample data set to illustrate key concepts throughout.
Introduction to Machine Learning with TensorFlowPaolo Tomeo
This document introduces TensorFlow, an open source machine learning library for deep learning. It discusses how TensorFlow uses data flow graphs to optimize objective functions and allows computation across CPU and GPU devices. It provides an example of classifying the Iris dataset using TensorFlow's high-level tf.contrib.learn API. It concludes with pointers to additional TensorFlow tutorials and guides.
PyTorch Python Tutorial | Deep Learning Using PyTorch | Image Classifier Usin...Edureka!
( ** Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** )
This Edureka PyTorch Tutorial (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of PyTorch. It also includes a use-case in which we will create an image classifier that will predict the accuracy of an image data-set using PyTorch.
Below are the topics covered in this tutorial:
1. What is Deep Learning?
2. What are Neural Networks?
3. Libraries available in Python
4. What is PyTorch?
5. Use-Case of PyTorch
6. Summary
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects.we'll preprocess the images, then train a convolutional neural network on all the samples. The images need to be normalized and the labels need to be one-hot encoded.
** AI & Deep Learning Using TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka tutorial will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with the details on how to use Tensorflow to detect objects in deep learning method. Below are the topics covered in this tutorial:
1. What is Object Detection?
2. Industrial use of Object Detection
3. Object Detection Workflow
4. What is Tensorflow?
5. Object Detection using Tensorflow - Demo
6. Live Object Detection using Tensorflow- Demo
The document provides an overview of deep learning, including its past, present, and future. It discusses the concepts of artificial general intelligence, artificial superintelligence, and predictions about their development from experts like Hawking, Musk, and Gates. Key deep learning topics are summarized, such as neural networks, machine learning approaches, important algorithms and researchers, and how deep learning works.
Artificial neural networks (ANNs) or connectionist systems are a computational model used in machine learning, computer science and other research disciplines, which is based on a large collection of connected simple units called artificial neurons, loosely analogous to axons in a biological brain. Connections between neurons carry an activation signal of varying strength. If the combined incoming signals are strong enough, the neuron becomes activated and the signal travels to other neurons connected to it. Such systems can be trained from examples, rather than explicitly programmed, and excel in areas where the solution or feature detection is difficult to express in a traditional computer program. Like other machine learning methods, neural networks have been used to solve a wide variety of tasks, like computer vision and speech recognition, that are difficult to solve using ordinary rule-based programming.
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The release of TensorFlow 2.0 comes with a significant number of improvements over its 1.x version, all with a focus on ease of usability and a better user experience. We will give an overview of what TensorFlow 2.0 is and discuss how to get started building models from scratch using TensorFlow 2.0’s high-level api, Keras. We will walk through an example step-by-step in Python of how to build an image classifier. We will then showcase how to leverage a transfer learning to make building a model even easier! With transfer learning, we can leverage other pretrained models such as ImageNet to drastically speed up the training time of our model. TensorFlow 2.0 makes this incredibly simple to do.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Traditional Musical Instruments of Arunachal Pradesh and Uttar Pradesh - RAYH...
The twin motif
1. The Twin Motif in Comparative Mythology
Brian Clark
Mythic themes of twins exist in most cultures; for instance, twinning is a common motif in the diverse
traditions of both Greek and West African myth. Twin myths are multi-thematic; however, the image
of dualism is universally consistent. Oppositional elements such as light and dark, heaven and earth,
day (Sun) and night (Moon), good and evil are easily paired, hence many mythic twins represent
polarised forces.1 Whether twins are destined to remain polar opposites or become united is a pattern
pervading their stories. Duplicity is often represented in myth as rivalrous twins championing
antithetical forces (nature-nurture, marginal-civilised, divine-instinctual) however the union of
symmetrical twins (Sun/Moon, love/devotion) is also portrayed.
Doniger, in critically discussing Levi-Strauss’ models, draws on his comparative study of twinship
myths stating that European and North American ideologies of twins have ‘striking dissimilarities’.
Pursuing Levi-Strauss’ ideas, she points out that European myths emphasise the similarity of twins
which lead to an annihilation of differences (the ideology of identity); North American myths stress the
dissimilarities of twins, where each must co-exist with their differences (the ideology of opposition).2
Another way to observe this split is to compare tribal cultures whose myths concern the killing of one
or both twins with literate cultures whose myths tell of the union of twins. Mythic motifs centring on
twins cover a broad spectrum, yet scholastic examination of twinship is often caught in dualism itself,
forming dyadic conclusions.3 While common twin motifs exist in all cultures, the ideological
dissimilarity seems to be whether the twin-other is absorbed and integrated symbolising a
holistic/androgynous nature, or is banished and killed off suggesting an eternity of polarity and
opposition.
1
Greek mythic tradition abounds with twinning and this coupling is apparent in later Greek myth. For instance
Eros, the power and madness of love, is doubled with Anteros, the avenger of unrequited love; Prometheus, the
visionary forward-thinker, is doubled with Epimetheus, after-thought; or Deimos and Phobus are twin images of
terror and fear fathered by the war god, Ares. Bruce Lincoln in Death, War and Sacrifice, page 40, argues that
Rhadamanthys and Minos may be twins and that Aeschylus poetically referred to Menelaus and Agamemnon as
twins. A common theme in myth and literature casts twins in the polar roles of the ‘light’ and ‘dark’ twin. For
the West African cultural examination of twin myths, see Bonnefoy, Mythologies, Volume 2: 33 ff.
2
Wendy Doniger, The Implied Spider Politics and Theology in Myth. Columbia University Press (New York:
1998). p.151-2
3
Ugo Bianchi in his entry Twins says “Another privileged expression of duality in both physiology and
symbology, is the notion of twinship.” He also examines twin myths in both non-literate and Indo-European
cultures, summarising “the motif of twins in the ideologies of non-literate cultures takes two main expressions;
(1) symmetry and (2) disparity in value”. Many of his conclusions show the dualistic nature of twins. Mircea
Eliade (editor), The Encyclopaedia of Religion, 15: 99 - 107.
2. Twins, as doubles or copies, naturally represent a consciousness of ‘other’. Whether they are trickster
figures, psychopomps, cultural heroes, city-fathers, warriors, or gods, twins activate consciousness and
portend conscious development. Birth and civilisation constellate the twin image. A central motif of
Greek cosmogony and myth is the evolution from chaos to order. The triumph of Zeus’ Olympian
realm and the myths of heroic conquests could be interpreted as striving towards consciousness. Twin
figures are more abundant in Greek myth (see appendix) consistent with the theme of conscious
development and order. Their mythologies, in contemporary terms, symbolise an awareness of
‘shadow’, or a personification of an alter ego. The twin may be a rival, a ‘dark’ or unheroic twin, who
must be overcome; or a partner, who is essentially a part of us, a counterpart or a twin-soul. The
emergent consciousness of other and attempt to either co-exist or obliterate the other often requires a
sacrifice which marks this evolutionary process. Themes of conscious awakening or development
requiring sacrifice are woven throughout twin myths, and these are the motifs I will examine.
Bruce Lincoln postulated that in the Proto-Indo-European cosmogonic myth, the world results “from a
primordial act of sacrifice in which the first priest, whose name was Manu (‘Man’), sacrificed his twin
brother, the first king, whose name was Yemo (‘Twin’).”4 Vedic myth conforms to this prototype in
the guise of Manu5, the first man to offer an oblation to the gods. Manu sacrificed his twin, Yama, who
became the overseer of the Underworld, escorting the dead to the realm of their ancestors. “Yama was
the sacrificial victim essential to the act of creation over which Manu presided. In other words ‘Man’
sacrificed his ‘Twin’.”6 This primordial creation motif is similar to myths of certain West African
tribes where one twin prematurely leaves the cosmic egg and the other twin is sacrificed to ensure a
better world.7 The motif of the sacrificed or assimilated twin recurs throughout Western myth as well.
The motif of a sacrificed twin (or sibling) preceding the founding of a city8 is a variation on this theme;
the founding of a city becomes the image of a birth and a movement towards civilisation and conscious
development. Roman twins, Romulus and Remus, conform to this mythic theme. Ennius, in the
Annales, tells how the omens surrounding the flight of birds favoured Romulus over his twin, Remus,
as the founder of the new city/empire, as prophesied to Aeneas (the original city founder) in the
4
Bruce Lincoln, Death, War & Sacrifice, p. 32.
5
Vedic myth assigns this name to 14 mythological progenitors of mankind. see John Dowson, A Classical
Dictionary of Hindu Mythology and Religion, p.199.
6
Jaan Puhvel, Comparative Mythologies, p. 286.
7
Bonnefoy, Mythologies, Volume 2: 33 ff.
8
Ignaz Goldziher, Mythology Among the Hebrews and Its Historical Development, translated by Russell
Martineau. Longmans, Green & Co. (London: 1877), p.113 states ‘in the myths of all peoples the Solar heroes
are regarded as the founders of city life, and that a fratricide often preceded the building of a city’. The Hebrew
story of Cain’s murder of his brother, Abel, follows this theme.
2
3. underworld.9 However the eponymous empire is founded on the blood sacrifice of Remus, who is
killed by his twin brother in the process of founding and building the city. Remus vanishes, absorbed
into the city; he is the sacrifice, while his brother is the champion founding father of Rome. This
archaic motif of the sacrificed twin preceding the birth of civilisation surfaced in a later culture’s
myth.10 Romulus, like other twin victors is also apotheosised, worshiped by the Romans as a god,
while his twin Remus is the sacrificed victim. Greek myth also depicts twins as city founders, however
unlike the Roman myth, a twin is not so overtly sacrificed.
Romulus and Remus
Greek twins, Amphion and Zethus, are also city founders, however rather than sacrificing or murdering
a twin, they cooperate in raising the city walls of Thebes. Numerous other twin motifs are woven
throughout their story: the impure or exiled mother forced to expose her twin babies, the twins are
fostered by a shepherd, the mother’s eventual rescue and release by the twins, the twin’s divine
parentage as well as their notable character dissimilarities.11 All these motifs are also part of the myth
of Romulus and Remus. However, unlike the Roman twins, in the myth of Amphion and Zethus the
theme of sacrifice as a harbinger of civilisation or consciousness is replaced by the theme of
assimilation. Greek myth does not always conform to prototype, however it is twins who herald the
9
Virgil, The Aeneid, translated by David West (Penguin, London: 1991). 6: 776-790.
10
This theme recurring in Roman myth perplexes scholars. See Jaan Puhvel, Comparative Mythology, p. 286-8.
11
Other Greek twins Pelias and Neleus conform to these themes. They were exposed on a mountain after birth
and when they matured they rescued their mother. They were temperamentally dissimilar and eventually Pelias
forced his twin into exile.
3
4. rebirth of Thebes, destined to be a great city and dynasty. Thebes, like Rome, had been originally
founded by an older heroic figure (Cadmus) and the twin founding ushers in a more developed era for
the Thebans. The Theban twins build the city walls together by utilising their considerably different
talents. Amphion is a gifted musician whose lyre playing coerces nature into cooperating with the
construction of the city walls; Zethus has enormous strength and is able to manually lift the heavy
stones into place. Each twin cooperates, centred on the task and unified by their common goal. The
Greek variant on the theme merges, rather than sacrifices, the twin’s oppositional natures. One aspires
to the poetical, musical and cultural side while the other aligns himself with the strength and
determined spirit of the wild. Here the image of the twin heralds a birth, however rather than the
sacrifice of a twin, an assimilation of the twins occurs.
Zethus, Antiope and Amphion
The Latin myth of the twins Byblis and Caunus weaves the themes of sacrifice and city founding in an
unusual and psychologically complex manner. Ovid, the poet who narrates the story in
Metamorphoses, introduces us to the opposite sex twins whose incestuous struggle brings their
opposition to consciousness. Caunus is so shocked at his sister’s suggestion of violating the sacred
4
5. taboo of incest that he fled from her and “built himself a new city in a foreign land”.12 Even though
certain gods had married their sisters, Byblis was aware that her passionate feelings and sexual desire
for her brother were taboo. Obsessed by her brother, she wrote him a letter identifying her erotic
feelings for him. Caunus was so disgusted that he fled as far as possible and Byblis, engulfed by grief,
died searching for him.13 Again a twin is the harbinger of conscious awareness which stimulates a
movement towards civilisation.
Byblis by Bouguereau
Opposite-sex twin myths are not as common as the archetypal twin brother myth yet, themes of
identification and opposition are apparent. In the previous myth we saw opposite sex twins whose
identification was so strong, one was sacrificed. The violated taboo stimulated consciousness as well
as demanding the sacrifice of one twin conforming to the prototypal Indo European mythic motif.
Greek myth deified the opposite sex twins Apollo and Artemis. As Olympians these twins constellated
an image of ‘divine twins’. Apollo and Artemis were also strongly identified with each other. Neither
twin was sacrificed, however rivals for their twin partners often were.14
In later myth these twins became associated with the luminaries; Apollo, the Sun and Artemis, the
Moon.15 Similar to Amphion and Zethus they naturally reflect the opposites of culture and instinct.
12
Ovid, Metamorphoses, translated by Mary M. Innes. Penguin (London: 1955). 9: 635-6.
13
Pausanias in Guide to Greece Volume 1 translated by Peter Levi, Penguin Books (London: 1979) page 376
tells an interesting twist to the Narcissus myth. Narcissus had a twin sister who he loved. She looked exactly
like him however had died. His grief abated when he was able to believe that the reflection in the spring was his
sisters’. This version of the myth contains similar symbols to the Byblis/Caunus story.
14
Artemis swiftly executed Coronis, one of Apollo’s lovers. One version of the myth suggests Apollo tricked
Artemis into killing Orion, a friend and hunting companion of his sister. Interestingly Apollo’s love interests
like Cyrene and Daphne were replicas of his twin sister: huntresses, wild etc.
15
By the 5th century BC, Apollo had become the Sun god while in the 2nd century BC Artemis became
associated with the Moon. See Sarah Iles Johnston, Hekate Soteira, A Study of Hekate’s Roles in the Chaldean
Oracles and Related Literature, Scholar’s Press (Atlanta, GA: 1990). p. 31 footnote 8.
5
6. Apollo’s sphere is the arts, divination, and healing while Artemis’ domain is the forest, the mountains
and the wild. Their close relationship allows them to cross over into each other’s territory. The Second
Homeric Hymn to Artemis tells of Artemis joining her brother and the Muses in song and dance. Like
his twin sister, Apollo can use his bow and arrow to be a swift and cruel executioner. Similar to other
twin motifs, Apollo and Artemis are children of a sky god (Zeus) and an exiled mother (Leto) who they
fiercely protect. The twins also herald the creation of Delos, a major centre and sanctuary in antiquity
which is famous as the birthplace of Apollo as well as giving its name to the union of independent
Greek states.16 One version of the myth suggests that Artemis was firstborn and then helped to deliver
her brother, a variant on the theme of one twin leading the other into consciousness. Again the Greek
myths have utilised the twin image to precede the birth of an important centre however have replaced
the sacrificed twin with twins who are symmetrical and able to be assimilated. Their close attachment
is a theme that is also evident in the Greek myth of the Dioscuri.
One of the most endearing twin myths is the Greek myth of Castor and Polydeuces, who were also
honoured by the Romans as Castor and Pollux. Castor and Polydeuces, beloved by both Gods and
mortals, were known as the Dioscuri (the sons of Zeus) referring to an early version of the myth where
both were divine heroic sons of the sky god, Zeus, as suggested in the Homeric Hymn to the Dioscuri.17
In later myth, the twins Castor and Pollux originated from a much more complex family atmosphere
where the notion of twinship was stretched to include multiple pairs of opposites: male-female, divine-
mortal.18 The version of the twin’s double paternity (Zeus fathers Polydeuces while the Spartan king,
Tyndareus, fathers Castor) was not the oldest account but it became the popular version, originating
from the epic poem Cypria19. Like many twin myths, one was sired by a god20 and the other by a
16
The Homeric Hymn to Delian Apollo tells how the insignificant island of Delos became immortalised as the
birthplace of the great god Apollo. see The Homeric Hymns translated by Charles Boer, Spring (Dallas, TX:
1970). 149 ff. The Delian league was a collaboration of independent Greek states formed to defend against the
Persians. At the beginning of the confederation, the treasury and council were at Delos.
17
Both Homeric Hymns to the Dioscuri claim Zeus as father to both twins. The Homeric Hymns, translated by
Charles Boer. Spring (Dallas, TX: 1970). p 146-8.
18
In the second century BC, Apollodorus in The Library 3.10.7 tells the version of Zeus fathering Pollux and
Helen while Tyndareus fathered Clytemnestra and Castor on Leda. See Apollodorus, The Library Volume 2,
translated by James Frazer, William Heinemann (London: 1921). p. 23.
19
The different versions of the twins’ birth suggest both are sons of Zeus, or both are sons of Tyndareus. The
Cypria suggests Castor is mortal and Polydeuces immortal, suggesting the dual parentage. No version ever
suggested the reverse.
20
The father of twins was generally a sky-god or sun-god; a god associated with consciousness. G. S. Kirk in
examining themes throughout comparative myth, lists the birth of twins under his category of ‘Unusual births’.
He suggests the mythic image “that twins are a prodigy- normally a father sires one child at a time, so that when
two children emerge there must be two fathers, of whom one must be divine.” see Kirk, Myth Its Meaning and
Functions in Ancient and Other Cultures. Cambridge University Press (Cambridge: 1986). 200. The North
American Iroquois acknowledge twin culture heroes, brothers with different fathers. “ One is the son of the Sun
6
7. mortal. Even though their paternity assigned each a different destiny of mortality and immortality, the
twins were inseparable. This unique theme of union is also apparent in Indian mythology.
Poussin’s 1628 sketch of Castor and Pollux
The Vedic myth of the twin Asvins is similar to the Greek myth of the Dioscuri.21 The comparison
between these two sets of twins is made by Georges Dumezil and even earlier by Max Muller in
1872.22 Like the Dioscuri, the Asvins are twin sons of a sun or sky god who are youthful, bright
soldiers. Their name is derived from Asva, ‘horse’, since their mother concealed herself as a mare
(Asvini) when she was impregnated by the Sun god. While the horse is symbolic of war it is also a
luminous and divine symbol. The Asvins were masters of horses riding their golden chariot, drawn by
and represents the powers of goodness; his brother is the son of the waters and is associated with evil.” see An
Encyclopaedia of Archetypal Symbolism, edited by Beverly Moon. Shambhala (London: 1991) 24.
21
Jaan Puhvel in Comparative Mythology, p. 140 suggest both these myths come from “inherited Indo-
European structures”.
22
C. Scott Littleton, The New Comparative Mythology, 3rd Edition, p.14.
7
8. horses, across the heavens to bring the dawn.23 The Dioscuri too were connected with horses through
their association with the cavalry, riding their white steeds; one of the twins, Castor was known as a
‘breaker of horses’.24 Like the Dioscuri, ‘Zeus’ boys’, the Asvins had a similar epithet: Asvinikumara ,
‘the mare’s boys’.
One aspect of their relationships is noteworthy: their mutual devotion and love, counteracting many
myths which portray twins as antagonistic or at least ambivalent. Their relationship could be assessed
psychologically as symbiotic. The Dioscuri have such a strong attachment that they are unable to
separate, even in death. When the mortal twin Castor is fatally wounded by his cousin25, his brother’s
grief is so great that Polydeuces petitions Zeus to allow him to relinquish his immortality so he may be
with his brother. Pindar’s lyrics tell of Polydeuces’ grief:
He let hot tears fall and lifted his voice in lament:
‘Father Kronion, what release shall there be from sorrows?
Give death to me also, Master, with him.
Honour goes from one who has lost his friends,
And in trouble few among men may be trusted
To share in suffering.’26
Polydeuces’ relinquishment of his immortality to be joined with his brother is a unique image of twins
who merge.27 One of the epithets for the Asvins is Nasatyas which means inseparable.28 Other images
of their inability to psychologically separate is also seen in their enmeshed relationships. The Dioscuri
marry a twin pair of cousins, Phoebe and Hilaira, who they have abducted from their twin cousins, Idas
23
John Dowson, A Classical Dictionary of Hindu Mythology and Religion, Geography, History and
Literature”, p.29
24
Homer, in both the Iliad and the Odyssey uses the same line “Kastor, breaker of horses, and the strong boxer,
Polydeukes”, a reference to their early association with horses. See Homer, The Iliad, translated by Richmond
Lattimore, 3: 237-8 and The Odyssey, translated by Richmond Lattimore, 11: 298-300. The Second Hymn to the
Dioscuri greets them “riding on your fast horses”. In Celtic mythology there is an interesting twist on the theme
of horses and twins. Macca must race the king’s horses and as she collapses at the race’s finish, she gives birth
to the “twins of Macca”.
25
In later myth Castor is wounded by his cousin, Idas, who is twin to Lynceus . They had also abducted their
twin’s prospective brides, Phoebe and Hilaira, also twins. In later myth the Dioscuri were also twinned with
sisters, Helen and Clytemnestra, also twins.
26
Pindar, The Odes, translated by C.M. Bowra. Penguin (London: 1969). Nemean Ode X: 75-79
27
The Dioscuri’s afterlife has many mythic interpretations depending on the interpretation of ‘alternate days’.
Homer in the Odyssey Book 11: 304-5 says “they live still every other day; on the next day they are dead, but
they are given honour even as gods are.” Other myths suggest they exchange days between Olympus and
Erebos.
28
Stutley, Margaret and James, A Dictionary of Hinduism, p. 28.
8
9. and Lynceus. Similarly, the Asvins marry the same woman; both sets of twins displaying a high degree
of enmeshment.29
This attachment served as a conscious reminder of a collective fraternal love that was admired and
revered in the ancient world. The Asvins were “a focus of the supreme belief in divine goodwill
towards mankind”30 while the Dioscuri were a revered model for both sibship and friendship. L.R.
Farnell diachronically explores the myth of the Dioscuri in great detail however ends his examination
of the twins exalting the theme of brotherly love and sacrifice:
the myth of Kastor and Poludeukes expresses and ennobles the sentiment of
friendship, an emotional moral ideal that was passionately cherished by the Hellene
and that entered as a unique element into the highest ethical system of Greece. The
myth of self-surrender of Poludeukes, his abandonment of the crown of perfect
immortality for the sake of his brother’s fellowship shines out in the mythology of the
world.31
Hesiod, nearly three millennia earlier, too utilised the Dioscuri’s bond as a standard for honest and
devoted friendship:
Castor and Pollux, you who live in divine
Laecedaemon, by the lovely flowing stream
Eurotas, if ever I give a friend
Bad counsel, let me suffer his results.32
While the Asvins and the Dioscuri embody similar prototypal Indo-European twin motifs, they are
unique in their intense mutual devotion, which became an emblem for philia. Here the twin image is
employed as a conscious example of brotherly love and devotion which could also be broadened to a
prototype of brotherhood and sisterhood. As well, each pair of twins was associated with healing; an
attempt to address the split between the body and the soul. Another epithet for the Asvins was Darias,
‘wonder workers’33, a reference to their association with medicinal plants and healing. They were
29
The Asvins enmeshment with their shared wife is similar in theme to the myths of the Dioscuri’s
simultaneous birth with Helen. The triangularly now is not with wife, but sister. see Jaan Puhvel, Comparative
Mythology, pp 140-3. On page 143 he states ‘there is nothing to preclude the idea that the Indo-European
background of Helen was as the sexual partner of the Dioskouroi.’
30
Ibid, p.29.
31
Lewis Richard Farnell, Greek Hero Cults and Ideas of Immortality, Oxford University Press (London: 1921).
p.228
32
Hesiod. Theognis, Elegies, translated by Dorothea Wender. Penguin Books (London: 1973). 1087-90.
33
Stutley, Margaret and James, A Dictionary of Hinduism, p. 28.
9
10. physicians of mankind, especially to those wounded in battle.34 Machaon and Podalirius, healer
brothers paired in the Iliad35 and at other times twinned, also attend to those wounded on the
battlefield.36 In Roman myth, Castor and Pollux were worshipped as healing gods. In these twin myths
their jurisdiction over the sphere of ‘healing’37 may be suggestive of emergent consciousness which
integrates two opposing, yet symmetrical forces (like body and soul):
Experience in analytical psychology shows that the appearance of a pair of identical
figures, which we call a “doublet”, is as a rule associated with the emergence of
material into consciousness. Emergence into consciousness, however, is closely
related to healing.38
Twins again are heralds of consciousness.
The image of a twin as a impetus to consciousness is also part of the Judeo-Christian tradition. Edward
Edinger, a Jungian analytical psychologist, in his study of Old Testament twins, Jacob and Esau,
suggested that “the individuated ego is destined to be born a twin”.39 Hebrew myth tells of the struggle
of twins, Jacob and Esau, in the womb before birth and the unique destinies granted each twin.
Individuation or the task of conscious development constellates the image of a twin or equal other. In
Jungian thinking the twin serves as a shadow image allowing the possibility to be conscious of
differences, which precedes the integration of opposites.
Eliade, in exploring the myths of emergence, tells of the Zuni myth where “solar Twins lead embryonic
humanity up to the threshold of consciousness”40, away from embryonic unconsciousness to the light.
The theme of the twin as a guide to consciousness is a continuous thread which weaves itself
throughout myth. Twinning is a potent image of light and dark, heaven and earth, and through the
union of opposites a sense of integration and fluidity between opposites is possible.
In the myths of the Dioscuri and the Asvins, the twins are fused; opposites appear to be reconciled,
perhaps integrated, allowing a conscious relationship between the two. In the Dioscuri’s myth, a
34
Ibid, p.28.
35
Homer, The Iliad, Book 11: 832
36
C.A. Meier in Healing Dream and Ritual p. 57 states “The motif of healing twins has already come up in
connection with Asclepius’ sons, Machaon and Podalirius, one of whom is as usual mortal, while the other is
immortal.”
37
Apollo, a twin, is the patron of healers and the father of Asclepius, the god of healing.
38
Ibid, p. 57
39
Edward F. Edinger, The Bible and the Psyche: Individuation Symbolism in the Old Testament (Inner City
Books, Toronto: 1986), p. 36.
40
Marcea Eliade, Myths, Dreams, and Mysteries, p.161.
10
11. sacrifice also occurs. Unlike the primal sacrifice of Yemo, Polydeuces chooses his own sacrifice in
order to be united with his twin brother-partner. Polydeuces’ grief at the loss of his twin brother is so
great he petitions Zeus to relinquish his immortality so he may join his brother in death. In this myth,
the sacrifice is consciously chosen.
Another variation on the theme of conscious striving or ‘individuation’ embraces heroic twins.
Mesoamerican myth tells the tripartite tale of the hero twins, Hunahpu and Xbalanque, whose
adventures “culminate in their apotheosis as the sun and the moon”.41 These twins’ heroic struggle also
required a sacrifice of each other as well as an underworld journey before their resurrection and
apotheosis. Throughout North America the heroic figure whose feats benefit civilisation “often has a
younger twin brother”.42 Amongst the Mesoamerican tribes of the Mosquito, the Sumo and the
northern Tepehua when “twins are born the second of them is killed”.43 This theme is repeated in the
myth of the greatest of the Greek heroes, Heracles, who is born a twin.
Heracles is the son of Zeus while his twin Iphicles is the son of a mortal, Amphitryon. Symbolically
the heroic figure is a Jungian metaphor for the striving towards consciousness, and in this myth
Iphicles, as the mortal twin, serves the function of mortality, while heroic Heracles pursues
immortality. Similar to the Mesoamerican twins, Heracles undertakes the journey to Hades and is
apotheosised. The Greek myth of Heracles is well known, yet there is little myth about his twin,
Iphicles. It is as if Heracles has dominated or obliterated him, an interesting twist on one twin
dominating or expelling the other.44 Iphicles is the sacrificed twin to his brother’s heroism. This is
suggested early in the myth when Heracles courageously strangles the menacing serpents in their
cradle, whereas Iphicles is cowardly. Iphicles also is killed in the war against Augeus that Heracles
instigates as revenge.45 Heracles’ mortal twin is sacrificed due to his labours or individuation process.
Interestingly it is Iphicles’ son Iolaus who is often Heracles’ faithful companion.
41
Peter and Roberta Markman, The Flayed God: The Mesoamerican Mythological Tradition, p. 280. Apollo
and Artemis were twins also associated with the luminaries.
42
Bonnefoy, Mythologies, p.1153.
43
Eliade, Mircea (editor), The Encyclopaedia of Religion, Volume 9: 434.
44
One author suggests that this may actually be conscious editing. Philip E. Slater, The Glory of Hera Greek
Mythology and the Greek Family. Princeton University Press (Princeton, NJ: 1992) states: “the story of
Heracles and his twin illustrates the process of censorship quite strikingly. What is remarkable about Iphicles is
that nothing whatever is known about him.........There seem to be no reason why such a theme should be
suppressed unless the relationship were originally rivalrous.”
45
The New Century Classical Handbook, edited by Catherine B. Avery. Appleton-Century-Crofts, Inc. (New
York: 1962). p. 600-1.
11
12. The vanquished or sacrificed twin theme from antiquity has a contemporary counterpart. Ultrasound
technology has revealed that many twin pregnancies result in a single birth and that one of the twins is
either absorbed into the body of the other twin or expelled unnoticed by the mother. Latest statistics
suggest one in every six conceptions are twins although only one out of every sixty births are twins.
This phenomenon is commonly known as the ‘vanishing twin’ syndrome.46 The sacrificed twin
heralding birth is not only a mythic motif but a biological reality:
We are conceived as twins and, most of us, born single. We conceive of ourselves,
from the start, as twins, then one disappears. Together, the First Twins struggle with
forces primeval, opening a space in this world for us to tame horses, plough the land,
survive the lightening; then one devours the other. The vanished twin leaves behind a
body as dry and as thin as a fragment of papyrus.47
Sacrifice is an obvious theme that is a cosmogonic precursor. When the image of twins and sacrifice
appear in myth, they too seem to herald birth: the founding of cities or empires, the heroic task of
individuation or birth itself. Perhaps twins represent a more differentiated symbol for the advent of
consciousness since the twin is a perfect representative of duality, equality and the conscious
realisation of an other outside of one’s own self: ‘twins incarnate an ideal of ontological perfection’.48
Because the twin is such a powerful and luminous image it is not surprising that this theme, in different
ways, is woven throughout the fabric of many culture’s myths.
46
Statistical research is reported in Psychology Today, Volume 30, No. 4, July/August 1997 and Lawrence
Wright, Twins and What They Tell Us About Who We Are. John Wiley and Sons (New York: 1997). Chapter 6.
47
Hillel Schwartz, The Culture of the Copy: Striking Likenesses, Unreasonable Facsimiles. Zone Books (New
York: 1996). p.19. Schwartz also quotes statistics and examples of the ‘vanishing twin’ syndrome.
48
Bonnefoy, Mythologies, Volume 2: 33.
12