This document provides an introduction to TensorFlow presented by Rebai Ahmed. The presentation includes:
- An introduction to machine learning and deep learning concepts.
- An explanation of what TensorFlow is and why it was developed. TensorFlow is an open-source library for machine learning and deep learning.
- Reasons why TensorFlow is a popular tool, including its ability to run on various platforms, support for distributed computing, use by Google and other large companies, and large community.
- Examples of cool projects that can be built with TensorFlow, such as image classification, object detection, speech recognition, and more.
- Resources provided at the end for learning more about TensorFlow.
a presentation about python programming language made and presented by me in a lecture to show the importance of python in the real world to my colleagues
Welcome to Python Programming Language.pdfdigitaldnyan
Python is easy to learn. Its symbol is easy and code is very readable.
Python has a lot of applications. It's used for developing web applications, data science, rapid application development, and so on.
Python allows you to write programs in lesser lines of code than most of the programming languages.Python is easy to learn. Its syntax is easy and code is very readable.
digitaldnyan.com
a presentation about python programming language made and presented by me in a lecture to show the importance of python in the real world to my colleagues
Welcome to Python Programming Language.pdfdigitaldnyan
Python is easy to learn. Its symbol is easy and code is very readable.
Python has a lot of applications. It's used for developing web applications, data science, rapid application development, and so on.
Python allows you to write programs in lesser lines of code than most of the programming languages.Python is easy to learn. Its syntax is easy and code is very readable.
digitaldnyan.com
Welcome to Python Programming Language.pptxdigitaldnyan
Python is an interpreter, high-level, broadly useful programming language. Python’s structure theory underlines code readability with its remarkable utilization of huge whitespace. Its language develops and object-oriented methodology intends to enable software engineers to compose clear, logical code for little and enormous scale ventures. This object-oriented framework has dazzled IT lovers fundamentally with its dynamic semantics.
Semi-motivational talk about why today is a great time to learn Python. Slides include a brief overview of the current state of the language, its application areas, and Python's future.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
Practical TensorFlow
Covers next questions:
* Machine Learning - what is it for and what challenges non deep learning system have.
* Deep Learning - why and how would you use it.
* Introducing TensorFlow and TensorFlow Learn.
* Examples of how to apply TensorFlow in practice with TensorFlow Learn.
POWERED BY -- teachersduniya.com
This is the based on python programming language which is the very power full language . you can also learn whole about overview python.
hadoop training in mumbai at Asterix Solution is designed to scale up from single servers to thousands of machines, each offering local computation and storage. With the rate at which memory cost decreased the processing speed of data never increased and hence loading the large set of data is still a big headache and here comes Hadoop as the solution for it.
http://www.asterixsolution.com/big-data-hadoop-training-in-mumbai.html
A complete guide for building machine learning and deep learning solutions using Tensorflow. This TensorFlow tutorial is designed for newbies and advanced users in which they will learn basics & difficult concepts of Tensorflow from scratch. Enroll now and let’s take a step into the future with TensorFlow!
Get the Course here : https://www.eduonix.com/tensorflow-for-beginners?coupon_code=discount15
https://www.eduonix.com/tensorflow-for-beginners?coupon_code=discount15
TonY: Native support of TensorFlow on HadoopAnthony Hsu
Anthony Hsu, Jonathan Hung, and Keqiu Hu offer an overview of TensorFlow on YARN (TonY), a framework to natively run TensorFlow on Hadoop. TonY enables running TensorFlow distributed training as a new type of Hadoop application. Its native Hadoop connector, together with other features, aims to run TensorFlow jobs as reliably and flexibly as other applications on Hadoop.
Video: https://youtu.be/sIfnsU-5jHM
As Machine learning reaches the mainstream, new tools available to developers makes it possible to implement machine-learning features—voice, face, and image recognition; personalized recommendations; and more—in a mobile context.
TensorFlow Lite applies many techniques for achieving low latency; optimizing the kernels for mobile apps, pre-fused activations, and quantized kernels that allow smaller and faster (fixed-point math) models.
Live coding session on AI / ML using Google Tensorflow (Python) - Tanmoy Deb ...Tech Triveni
Build your own system, extend your existing systems through ML capabilities. Machine learning is about teaching computers how to learn from data to make decisions or predictions. For true machine learning, the computer must be able to learn to identify patterns without being explicitly programmed to. The topic will give briefly cover how anybody can learn and start their journey in AI, discussing the opportunities and challenges from point of view of a student, developer, and entrepreneur. The take away from the session will be to take that first step beyond the question- "where to start? There is too much out there!". This will be given with a demo that how most popular framework for Deep Learning works.
How to Choose a Deep Learning FrameworkNavid Kalaei
The trend of neural networks has been attracted a huge community of researchers and practitioners. However, not all of the upfront runners are masters of deep learning and the colorful frameworks could be confusing, especially for the newcomers. In this presentation, I demystified the mystery of the leading frameworks of deep learning and provided a guideline on how to choose the most suitable option.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-google-keynote
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit.
Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that have traditionally been very difficult for computers. Google has released its second generation system, TensorFlow, as an open source project, and is now collaborating with a growing community on improving and extending its functionality. Using TensorFlow, Google's research group has made significant improvements in the state-of-the-art in many areas, and dozens of different groups at Google use it to train state-of-the-art models for speech recognition, image recognition, various visual detection tasks, language modeling, language translation, and many other tasks.
In this talk, Jeff highlights some of ways that Google trains large models quickly on large datasets, and discusses different approaches for deploying machine learning models in environments ranging from large datacenters to mobile devices. He will then discuss ways in which Google has applied this work to a variety of problems in Google's products, usually in close collaboration with other teams. This talk describes joint work with many people at Google.
Introducing TensorFlow: The game changer in building "intelligent" applicationsRokesh Jankie
This is the slidedeck used for the presentation of the Amsterdam Pipeline of Data Science, held in December 2016. TensorFlow in the open source library from Google to implement deep learning, neural networks. This is an introduction to Tensorflow.
Note: Videos are not included (which were shown during the presentation)
Welcome to Python Programming Language.pptxdigitaldnyan
Python is an interpreter, high-level, broadly useful programming language. Python’s structure theory underlines code readability with its remarkable utilization of huge whitespace. Its language develops and object-oriented methodology intends to enable software engineers to compose clear, logical code for little and enormous scale ventures. This object-oriented framework has dazzled IT lovers fundamentally with its dynamic semantics.
Semi-motivational talk about why today is a great time to learn Python. Slides include a brief overview of the current state of the language, its application areas, and Python's future.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
Practical TensorFlow
Covers next questions:
* Machine Learning - what is it for and what challenges non deep learning system have.
* Deep Learning - why and how would you use it.
* Introducing TensorFlow and TensorFlow Learn.
* Examples of how to apply TensorFlow in practice with TensorFlow Learn.
POWERED BY -- teachersduniya.com
This is the based on python programming language which is the very power full language . you can also learn whole about overview python.
hadoop training in mumbai at Asterix Solution is designed to scale up from single servers to thousands of machines, each offering local computation and storage. With the rate at which memory cost decreased the processing speed of data never increased and hence loading the large set of data is still a big headache and here comes Hadoop as the solution for it.
http://www.asterixsolution.com/big-data-hadoop-training-in-mumbai.html
A complete guide for building machine learning and deep learning solutions using Tensorflow. This TensorFlow tutorial is designed for newbies and advanced users in which they will learn basics & difficult concepts of Tensorflow from scratch. Enroll now and let’s take a step into the future with TensorFlow!
Get the Course here : https://www.eduonix.com/tensorflow-for-beginners?coupon_code=discount15
https://www.eduonix.com/tensorflow-for-beginners?coupon_code=discount15
TonY: Native support of TensorFlow on HadoopAnthony Hsu
Anthony Hsu, Jonathan Hung, and Keqiu Hu offer an overview of TensorFlow on YARN (TonY), a framework to natively run TensorFlow on Hadoop. TonY enables running TensorFlow distributed training as a new type of Hadoop application. Its native Hadoop connector, together with other features, aims to run TensorFlow jobs as reliably and flexibly as other applications on Hadoop.
Video: https://youtu.be/sIfnsU-5jHM
As Machine learning reaches the mainstream, new tools available to developers makes it possible to implement machine-learning features—voice, face, and image recognition; personalized recommendations; and more—in a mobile context.
TensorFlow Lite applies many techniques for achieving low latency; optimizing the kernels for mobile apps, pre-fused activations, and quantized kernels that allow smaller and faster (fixed-point math) models.
Live coding session on AI / ML using Google Tensorflow (Python) - Tanmoy Deb ...Tech Triveni
Build your own system, extend your existing systems through ML capabilities. Machine learning is about teaching computers how to learn from data to make decisions or predictions. For true machine learning, the computer must be able to learn to identify patterns without being explicitly programmed to. The topic will give briefly cover how anybody can learn and start their journey in AI, discussing the opportunities and challenges from point of view of a student, developer, and entrepreneur. The take away from the session will be to take that first step beyond the question- "where to start? There is too much out there!". This will be given with a demo that how most popular framework for Deep Learning works.
How to Choose a Deep Learning FrameworkNavid Kalaei
The trend of neural networks has been attracted a huge community of researchers and practitioners. However, not all of the upfront runners are masters of deep learning and the colorful frameworks could be confusing, especially for the newcomers. In this presentation, I demystified the mystery of the leading frameworks of deep learning and provided a guideline on how to choose the most suitable option.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-google-keynote
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit.
Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that have traditionally been very difficult for computers. Google has released its second generation system, TensorFlow, as an open source project, and is now collaborating with a growing community on improving and extending its functionality. Using TensorFlow, Google's research group has made significant improvements in the state-of-the-art in many areas, and dozens of different groups at Google use it to train state-of-the-art models for speech recognition, image recognition, various visual detection tasks, language modeling, language translation, and many other tasks.
In this talk, Jeff highlights some of ways that Google trains large models quickly on large datasets, and discusses different approaches for deploying machine learning models in environments ranging from large datacenters to mobile devices. He will then discuss ways in which Google has applied this work to a variety of problems in Google's products, usually in close collaboration with other teams. This talk describes joint work with many people at Google.
Introducing TensorFlow: The game changer in building "intelligent" applicationsRokesh Jankie
This is the slidedeck used for the presentation of the Amsterdam Pipeline of Data Science, held in December 2016. TensorFlow in the open source library from Google to implement deep learning, neural networks. This is an introduction to Tensorflow.
Note: Videos are not included (which were shown during the presentation)
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
4. Quick Questions
➢ How many people have heard about tensorflow ?
➢ How many people know about tensorflow ?
➢ How many people are using tensorflow ?
4
5. 1. Introduction
Artificial Intelligence, deep learning, machine learning —
whatever you’re doing if you don’t understand it — learn it.
Because otherwise you’re going to be a dinosaur within 3 years.
Mark Cuban
7. ★ Subfield of Artificial Intelligence (AI) gives "computers the ability to
learn without being explicitly programmed"
★ Machine learning is preferred approach to :
➢ Weather prediction
➢ Recommendation systems
➢ Spam Filtering
7
Introduction : What is Machine learning (2) ?
8. 8
Introduction : What is Deep Learning ?
Deep Learning is a subfield of Machine
learning concerned with algorithms inspired by
the structure and the function of the brain called
artificial neural network.
9. 9
Introduction : What is Deep Learning ?
➢ Our brain has lots of neurons connected
together and the strength of
the connections between neurons
represents long term knowledge.
Neurons in the brain
14. 2. What is TensorFlow ?
● TensorFlow is an open-source library for Deep Learning and Machine learning
● Developed by the Google Brain team and released in November 2015
● TensorFlow is mainly used for: Classification, Perception, Understanding,
Discovering, Prediction and Creation
14
16. More in Tensorflow:
➢ It possible to add machine learning capabilities to any web application
➢ You can use the APIs to build and train models right in the browser or in
your Node.js server application
➢ You can use TensorFlow.js to run existing models in your JavaScript
environment.
16
22. 22
Why TensorFlow :Google products
● It powers many of Google’s large-scale services, such as
○ Google Cloud Speech
○ Google Photos and
○ Google Search
23. 23
Why TensorFlow : Large community
● One the the most popular open source projects
on GitHub
● It has a dedicated team of passionate and
helpful developers
● Growing community contributing to improve it
24. 24
Why TensorFlow : Big Companies using
Tensorflow
● Google
● OpenAI
● DeepMind
● Uber
● eBay
● DropBox
● A bunch of startups