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TensorFlow.js - Running MobileNet in the browser
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Classroom Contents
Python Deep Learning Neural Network API
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- 1 Keras with TensorFlow Prerequisites - Getting Started With Neural Networks
- 2 TensorFlow and Keras GPU Support - CUDA GPU Setup
- 3 Keras with TensorFlow - Data Processing for Neural Network Training
- 4 Create an Artificial Neural Network with TensorFlow's Keras API
- 5 Train an Artificial Neural Network with TensorFlow's Keras API
- 6 Build a Validation Set With TensorFlow's Keras API
- 7 Neural Network Predictions with TensorFlow's Keras API
- 8 Create a Confusion Matrix for Neural Network Predictions
- 9 Save and Load a Model with TensorFlow's Keras API
- 10 Image Preparation for Convolutional Neural Networks with TensorFlow's Keras API
- 11 Code Update for CNN Training with TensorFlow's Keras API
- 12 Build and Train a Convolutional Neural Network with TensorFlow's Keras API
- 13 Convolutional Neural Network Predictions with TensorFlow's Keras API
- 14 Build a Fine-Tuned Neural Network with TensorFlow's Keras API
- 15 Train a Fine-Tuned Neural Network with TensorFlow's Keras API
- 16 Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API
- 17 MobileNet Image Classification with TensorFlow's Keras API
- 18 Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API
- 19 Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
- 20 Data Augmentation with TensorFlow's Keras API
- 21 Mapping Keras labels to image classes
- 22 Reproducible results with Keras
- 23 Initializing and Accessing Bias with Keras
- 24 Learnable parameters ("trainable params") in a Keras model
- 25 Learnable parameters ("trainable params") in a Keras Convolutional Neural Network
- 26 Deploy Keras Neural Network to Flask web service | Part 1 - Overview
- 27 Deploy Keras neural network to Flask web service | Part 2 - Build your first Flask app
- 28 Deploy Keras neural network to Flask web service | Part 3 - Send and Receive Data with Flask
- 29 Deploy Keras neural network to Flask web service | Part 4 - Build a front end web application
- 30 Deploy Keras neural network to Flask web service | Part 5 - Host VGG16 model with Flask
- 31 Deploy Keras neural network to Flask web service | Part 6 - Build web app to send images to VGG16
- 32 Deploy Keras neural network to Flask web service | Part 7 - Visualizations with D3, DC, Crossfilter
- 33 Deploy Keras neural network to Flask web service | Part 8 - Access model from Powershell, Curl
- 34 Deploy Keras neural network to Flask web service | Part 9 - Information Privacy, Data Protection
- 35 TensorFlow.js - Introducing deep learning with client-side neural networks
- 36 TensorFlow.js - Convert Keras model to Layers API format
- 37 TensorFlow.js - Serve deep learning models with Node.js and Express
- 38 TensorFlow.js - Building the UI for neural network web app
- 39 TensorFlow.js - Loading the model into a neural network web app
- 40 TensorFlow.js - Explore tensor operations through VGG16 preprocessing
- 41 TensorFlow.js - Examining tensors with the debugger
- 42 Broadcasting Explained - Tensors for Deep Learning and Neural Networks
- 43 TensorFlow.js - Running MobileNet in the browser
