SlideShare a Scribd company logo

Object classification using CNN & VGG16 Model (Keras and Tensorflow)

•Download as PPTX, PDF•
•
L
Lalit Jain

Using CNN with Keras and Tensorflow, we have a deployed a solution which can train any image on the fly. Code uses Google Api to fetch new images, VGG16 model to train the model and is deployed using Python Django framework

Technology
1 of 24
Object Classification using CNN Lalit Jain https://www.linkedin.com/in/lalit7jain/ Rohit Agarwal https://www.linkedin.com/in/rohitag04/ Shivam Goel https://www.linkedin.com/in/goelshi/ Hina Gandhi: https://www.linkedin.com/in/hina-gandhi-52834356/ Big Data & Engineering Systems Under the guidance of Professor. Dino Konstantopoulos
Agenda 1. Case Study 2. Building a Convolutional Neural Network 3. Time Complexity 4. Using VGG16 model 5. Demo 6. Results 7. Limitations & Challenges 8. Future Scope Agenda
Case Study Building a CNN model which can be trained on the fly and classify objects
Approach 1. Using Google API to download 100 images from the front end using a Keyword 2. Prepare the image by cleaning and augmentation 3. Train the model based on the image downloaded with Convolutional Neural Network using Keras and Tensorflow 4. Classify the image Technology Stack: Programming Language: Python Front End: Django Framework Machine Specifications: Libraries: Keras, Tensorflow, VGG16, etc
Convolutional Neural Network
Images are a matrix of pixel values Convolution Operation Relu Activation Pooling (Max)
Putting it all together
About the Dataset We have taken two datasets : Static Model: One dataset is related to natural calamities where we have trained our models for 4 classes “earthquake”, “hurricane”, “tornado” and “volcanic eruption”. Dynamic Model: Other dataset is related to personality identification which will work on the fly. During demo, we will add one personality on the fly in addition to the existing classes (Donald Trump, Morgan Freeman)
Use case and Scope 1. Using static model, identify one of the 4 natural calamities 2. Using the trained dynamic model, identify the personality Out of Scope/ Limitations: 1. Being able to identify a class which is not trained 2. Being able to identify 0 as output if image does not match 3. Misclassification of images due to training on uncleaned and inaccurate image labels
DEMO
Data augmentation for improving the model By applying random transformation to our train set, we artificially enhance our dataset with new unseen images. shear_range: Rotate image by 0.2 zoom_range: Zoom the image by 0.2 horizontal_flip: Randomly flip inputs horizontally rescale: rescaling factor (1./255)
Building CNN from Scratch Basic CNN model (the model that was developed from scratch) gave ~74% accuracy.
CNN training complexity Time: 8-9 Hours Processor: CPU Dataset: 2000 images Classes: 2 Can we improve it?
VGG16 Pre-Trained Model https://arxiv.org/pdf/1409.1556.pdfCitation: The model achieves 92.7% top-5 test accuracy in ImageNet, which is a dataset of over 14 million images belonging to 1000 classes.
Using the VGG16 Model
Using the VGG16 Model We have created our own sequential model and then added to VGG16.
Improvement Using this approach, the accuracy was improved to 87%. Time to run the model was still 2-3 hours. Can we improve the time?
Using GPU machine Running the model on a AWS instance with Nvidia GK104 GPU (4 GB) powered instance The epochs that took 1 hour to train 140 images are now executing in under a minute as shown in next slide with an accuracy of 95%
Results
Results Evolution of accuracy on training (blue) and validation (green) sets for 1 to 30 epochs :
CHALLENGES 1. Limitation of Google API custom search to return only 10 images. 2. Compressing large size images before writing to disk. 3. Basic CNN model took more than 8 hours to run from scratch 4. The total images in all the classes should be same and the batch size should be the GCD of total images in train and test classes. 5. Django installation and other software installations required lot of configurations in GPU instance 6. Tried to install quiver engine for visualization of each convoluted layer.
Future Scope 1. Facial key point detection 2. Analysis of satellite images for disaster detection 3. Real Time Criminal Detection through Video analysis 4. And many more…
References References: https://districtdatalabs.silvrback.com/modern-methods-for-sentiment-analysis https://www.zybuluo.com/HaomingJiang/note/462804 https://xkcd.com/1425/ http://cs231n.stanford.edu/reports/2016/pdfs/267_Report.pdf https://en.wikipedia.org/wiki/Kernel_(image_processing) https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To- Understanding-Convolutional-Neural-Networks-Part-2/ http://culurciello.github.io/tech/2016/06/04/nets.html https://en.wikipedia.org/wiki/Convolutional_neural_network
THANK YOU https://github.com/Lalit7Jain/ObjectClassification_CNN_KerasCode & Report Available at:

Recommended

Convolutional Neural Network Models - Deep Learning
Convolutional Neural Network Models - Deep LearningConvolutional Neural Network Models - Deep Learning
Convolutional Neural Network Models - Deep LearningMohamed Loey
 
Introduction to CNN
Introduction to CNNIntroduction to CNN
Introduction to CNNShuai Zhang
 
Few shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningFew shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningﺁﺻﻒ ﻋﻠﯽ ﻣﯿﺮ
 
Convolutional neural network
Convolutional neural network Convolutional neural network
Convolutional neural network Yan Xu
 
Deep Learning in Computer Vision
Deep Learning in Computer VisionDeep Learning in Computer Vision
Deep Learning in Computer VisionSungjoon Choi
 
Machine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkMachine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkRichard Kuo
 
Generative Adversarial Network (GAN)
Generative Adversarial Network (GAN)Generative Adversarial Network (GAN)
Generative Adversarial Network (GAN)Prakhar Rastogi
 
Intro to Deep learning - Autoencoders
Intro to Deep learning - Autoencoders Intro to Deep learning - Autoencoders
Intro to Deep learning - Autoencoders Akash Goel
 

Recommended

Convolutional Neural Network Models - Deep Learning
Convolutional Neural Network Models - Deep LearningConvolutional Neural Network Models - Deep Learning
Convolutional Neural Network Models - Deep LearningMohamed Loey
 
Introduction to CNN
Introduction to CNNIntroduction to CNN
Introduction to CNNShuai Zhang
 
Few shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningFew shot learning/ one shot learning/ machine learning
Few shot learning/ one shot learning/ machine learningﺁﺻﻒ ﻋﻠﯽ ﻣﯿﺮ
 
Convolutional neural network
Convolutional neural network Convolutional neural network
Convolutional neural network Yan Xu
 
Deep Learning in Computer Vision
Deep Learning in Computer VisionDeep Learning in Computer Vision
Deep Learning in Computer VisionSungjoon Choi
 
Machine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkMachine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkRichard Kuo
 
Generative Adversarial Network (GAN)
Generative Adversarial Network (GAN)Generative Adversarial Network (GAN)
Generative Adversarial Network (GAN)Prakhar Rastogi
 
Intro to Deep learning - Autoencoders
Intro to Deep learning - Autoencoders Intro to Deep learning - Autoencoders
Intro to Deep learning - Autoencoders Akash Goel
 
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...Simplilearn
 
Convolutional Neural Networks
Convolutional Neural NetworksConvolutional Neural Networks
Convolutional Neural NetworksAshray Bhandare
 
Deep learning
Deep learningDeep learning
Deep learningRatnakar Pandey
 
AGE AND GENDER DETECTION.pptx
AGE AND GENDER DETECTION.pptxAGE AND GENDER DETECTION.pptx
AGE AND GENDER DETECTION.pptxssuserb4a9ba
 
Convolutional neural network from VGG to DenseNet
Convolutional neural network from VGG to DenseNetConvolutional neural network from VGG to DenseNet
Convolutional neural network from VGG to DenseNetSungminYou
 
Deep learning
Deep learning Deep learning
Deep learning Rajgupta258
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networksSi Haem
 
Transfer Learning
Transfer LearningTransfer Learning
Transfer LearningHichem Felouat
 
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Simplilearn
 
Introduction to Deep Learning
Introduction to Deep LearningIntroduction to Deep Learning
Introduction to Deep LearningOswald Campesato
 
Convolutional neural network
Convolutional neural networkConvolutional neural network
Convolutional neural networkMojammilHusain
 
Support Vector Machines- SVM
Support Vector Machines- SVMSupport Vector Machines- SVM
Support Vector Machines- SVMCarlo Carandang
 
CONVOLUTIONAL NEURAL NETWORK
CONVOLUTIONAL NEURAL NETWORKCONVOLUTIONAL NEURAL NETWORK
CONVOLUTIONAL NEURAL NETWORKMd Rajib Bhuiyan
 
1.Introduction to deep learning
1.Introduction to deep learning1.Introduction to deep learning
1.Introduction to deep learningKONGU ENGINEERING COLLEGE
 
Cnn
CnnCnn
CnnNirthika Rajendran
 
Image Classification using deep learning
Image Classification using deep learning Image Classification using deep learning
Image Classification using deep learning Asma-AH
 
Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Suraj Aavula
 
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...Edureka!
 
Deep learning
Deep learningDeep learning
Deep learningMohamed Loey
 
Introduction of Deep Learning
Introduction of Deep LearningIntroduction of Deep Learning
Introduction of Deep LearningMyungjin Lee
 
Post Graduate in AI PPT.pptx
Post Graduate in AI PPT.pptxPost Graduate in AI PPT.pptx
Post Graduate in AI PPT.pptxkingkhan1234567890
 
Building a Custom Vision Model
Building a Custom Vision ModelBuilding a Custom Vision Model
Building a Custom Vision ModelNicholas Toscano
 

More Related Content

What's hot

What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...Simplilearn
 
Convolutional Neural Networks
Convolutional Neural NetworksConvolutional Neural Networks
Convolutional Neural NetworksAshray Bhandare
 
AGE AND GENDER DETECTION.pptx
AGE AND GENDER DETECTION.pptxAGE AND GENDER DETECTION.pptx
AGE AND GENDER DETECTION.pptxssuserb4a9ba
 
Convolutional neural network from VGG to DenseNet
Convolutional neural network from VGG to DenseNetConvolutional neural network from VGG to DenseNet
Convolutional neural network from VGG to DenseNetSungminYou
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networksSi Haem
 
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Simplilearn
 
Introduction to Deep Learning
Introduction to Deep LearningIntroduction to Deep Learning
Introduction to Deep LearningOswald Campesato
 
Convolutional neural network
Convolutional neural networkConvolutional neural network
Convolutional neural networkMojammilHusain
 
Support Vector Machines- SVM
Support Vector Machines- SVMSupport Vector Machines- SVM
Support Vector Machines- SVMCarlo Carandang
 
CONVOLUTIONAL NEURAL NETWORK
CONVOLUTIONAL NEURAL NETWORKCONVOLUTIONAL NEURAL NETWORK
CONVOLUTIONAL NEURAL NETWORKMd Rajib Bhuiyan
 
Image Classification using deep learning
Image Classification using deep learning Image Classification using deep learning
Image Classification using deep learning Asma-AH
 
Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Suraj Aavula
 
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...Edureka!
 
Introduction of Deep Learning
Introduction of Deep LearningIntroduction of Deep Learning
Introduction of Deep LearningMyungjin Lee
 

What's hot (20)

What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
 
Convolutional Neural Networks
Convolutional Neural NetworksConvolutional Neural Networks
Convolutional Neural Networks
 
Deep learning
Deep learningDeep learning
Deep learning
 
AGE AND GENDER DETECTION.pptx
AGE AND GENDER DETECTION.pptxAGE AND GENDER DETECTION.pptx
AGE AND GENDER DETECTION.pptx
 
Convolutional neural network from VGG to DenseNet
Convolutional neural network from VGG to DenseNetConvolutional neural network from VGG to DenseNet
Convolutional neural network from VGG to DenseNet
 
Deep learning
Deep learning Deep learning
Deep learning
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networks
 
Transfer Learning
Transfer LearningTransfer Learning
Transfer Learning
 
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
 
Introduction to Deep Learning
Introduction to Deep LearningIntroduction to Deep Learning
Introduction to Deep Learning
 
Convolutional neural network
Convolutional neural networkConvolutional neural network
Convolutional neural network
 
Support Vector Machines- SVM
Support Vector Machines- SVMSupport Vector Machines- SVM
Support Vector Machines- SVM
 
CONVOLUTIONAL NEURAL NETWORK
CONVOLUTIONAL NEURAL NETWORKCONVOLUTIONAL NEURAL NETWORK
CONVOLUTIONAL NEURAL NETWORK
 
1.Introduction to deep learning
1.Introduction to deep learning1.Introduction to deep learning
1.Introduction to deep learning
 
Cnn
CnnCnn
Cnn
 
Image Classification using deep learning
Image Classification using deep learning Image Classification using deep learning
Image Classification using deep learning
 
Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Convolution Neural Network (CNN)
Convolution Neural Network (CNN)
 
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
 
Deep learning
Deep learningDeep learning
Deep learning
 
Introduction of Deep Learning
Introduction of Deep LearningIntroduction of Deep Learning
Introduction of Deep Learning
 

Similar to Object classification using CNN & VGG16 Model (Keras and Tensorflow)

Building a Custom Vision Model
Building a Custom Vision ModelBuilding a Custom Vision Model
Building a Custom Vision ModelNicholas Toscano
 
AI Food detector; A model of Generative adversarial network for food Classifier
AI Food detector; A model of Generative adversarial network for food ClassifierAI Food detector; A model of Generative adversarial network for food Classifier
AI Food detector; A model of Generative adversarial network for food Classifierjimmy majumder
 
Tutorial: Image Generation and Image-to-Image Translation using GAN
Tutorial: Image Generation and Image-to-Image Translation using GANTutorial: Image Generation and Image-to-Image Translation using GAN
Tutorial: Image Generation and Image-to-Image Translation using GANWuhyun Rico Shin
 
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...IRJET Journal
 
Wids datathon slides_vanim (updated)
Wids datathon slides_vanim (updated)Wids datathon slides_vanim (updated)
Wids datathon slides_vanim (updated)Vani Mandava
 
Object detection
Object detectionObject detection
Object detectionSomesh Vyas
 
SigOpt at GTC - Tuning the Untunable
SigOpt at GTC - Tuning the UntunableSigOpt at GTC - Tuning the Untunable
SigOpt at GTC - Tuning the UntunableSigOpt
 
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO ObjectsPerformance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO ObjectsIJECEIAES
 
পদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তি
পদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তিপদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তি
পদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তিASMArman1
 
Presentation 400
Presentation 400Presentation 400
Presentation 400ASMArman1
 
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...Databricks
 
Automated_attendance_system_project.pptx
Automated_attendance_system_project.pptxAutomated_attendance_system_project.pptx
Automated_attendance_system_project.pptxNaveensai51
 
Image Object Detection Pipeline
Image Object Detection PipelineImage Object Detection Pipeline
Image Object Detection PipelineAbhinav Dadhich
 
Detection of medical instruments project- PART 1
Detection of medical instruments project- PART 1Detection of medical instruments project- PART 1
Detection of medical instruments project- PART 1Sairam Adithya
 
Cloud Study Jam Exploring the Cloud
Cloud Study Jam Exploring the CloudCloud Study Jam Exploring the Cloud
Cloud Study Jam Exploring the CloudProttay Karim
 
Alluxio Webinar - Maximize GPU Utilization for Model Training
Alluxio Webinar - Maximize GPU Utilization for Model TrainingAlluxio Webinar - Maximize GPU Utilization for Model Training
Alluxio Webinar - Maximize GPU Utilization for Model TrainingAlluxio, Inc.
 
IRJET- Object Detection in an Image using Convolutional Neural Network
IRJET- Object Detection in an Image using Convolutional Neural NetworkIRJET- Object Detection in an Image using Convolutional Neural Network
IRJET- Object Detection in an Image using Convolutional Neural NetworkIRJET Journal
 
Using Deep Learning Toolkits with Kubernetes clusters
Using Deep Learning Toolkits with Kubernetes clustersUsing Deep Learning Toolkits with Kubernetes clusters
Using Deep Learning Toolkits with Kubernetes clustersJoy Qiao
 

Similar to Object classification using CNN & VGG16 Model (Keras and Tensorflow) (20)

Post Graduate in AI PPT.pptx
Post Graduate in AI PPT.pptxPost Graduate in AI PPT.pptx
Post Graduate in AI PPT.pptx
 
Building a Custom Vision Model
Building a Custom Vision ModelBuilding a Custom Vision Model
Building a Custom Vision Model
 
Ad world
Ad worldAd world
Ad world
 
AI Food detector; A model of Generative adversarial network for food Classifier
AI Food detector; A model of Generative adversarial network for food ClassifierAI Food detector; A model of Generative adversarial network for food Classifier
AI Food detector; A model of Generative adversarial network for food Classifier
 
Tutorial: Image Generation and Image-to-Image Translation using GAN
Tutorial: Image Generation and Image-to-Image Translation using GANTutorial: Image Generation and Image-to-Image Translation using GAN
Tutorial: Image Generation and Image-to-Image Translation using GAN
 
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
Metaphorical Analysis of diseases in Tomato leaves using Deep Learning Algori...
 
Wids datathon slides_vanim (updated)
Wids datathon slides_vanim (updated)Wids datathon slides_vanim (updated)
Wids datathon slides_vanim (updated)
 
Object detection
Object detectionObject detection
Object detection
 
SigOpt at GTC - Tuning the Untunable
SigOpt at GTC - Tuning the UntunableSigOpt at GTC - Tuning the Untunable
SigOpt at GTC - Tuning the Untunable
 
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO ObjectsPerformance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects
 
পদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তি
পদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তিপদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তি
পদার্থ বিজ্ঞান ২য় পত্র- ভৌতজগতের প্রকৃ্তি
 
Presentation 400
Presentation 400Presentation 400
Presentation 400
 
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...
 
Automated_attendance_system_project.pptx
Automated_attendance_system_project.pptxAutomated_attendance_system_project.pptx
Automated_attendance_system_project.pptx
 
Image Object Detection Pipeline
Image Object Detection PipelineImage Object Detection Pipeline
Image Object Detection Pipeline
 
Detection of medical instruments project- PART 1
Detection of medical instruments project- PART 1Detection of medical instruments project- PART 1
Detection of medical instruments project- PART 1
 
Cloud Study Jam Exploring the Cloud
Cloud Study Jam Exploring the CloudCloud Study Jam Exploring the Cloud
Cloud Study Jam Exploring the Cloud
 
Alluxio Webinar - Maximize GPU Utilization for Model Training
Alluxio Webinar - Maximize GPU Utilization for Model TrainingAlluxio Webinar - Maximize GPU Utilization for Model Training
Alluxio Webinar - Maximize GPU Utilization for Model Training
 
IRJET- Object Detection in an Image using Convolutional Neural Network
IRJET- Object Detection in an Image using Convolutional Neural NetworkIRJET- Object Detection in an Image using Convolutional Neural Network
IRJET- Object Detection in an Image using Convolutional Neural Network
 
Using Deep Learning Toolkits with Kubernetes clusters
Using Deep Learning Toolkits with Kubernetes clustersUsing Deep Learning Toolkits with Kubernetes clusters
Using Deep Learning Toolkits with Kubernetes clusters
 

Recently uploaded

The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 

Recently uploaded (20)

The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 

Object classification using CNN & VGG16 Model (Keras and Tensorflow)