Table of Contents

Chapter 1:  Welcome to TensorFlow.js  .- Chapter 2:  Training Our First Models.- Chapter 3:  Doing k-means with ml5.js.- Chapter 4:  Recognizing Handwritten Digits with Convolutional Neural Networks.- Chapter 5:  Making a Game with PoseNet, a Pose Estimator Model.- Chapter 6: Identifying Toxic Text from a Google Chrome Extension.- Chapter 7:  Object Detection with a Model Trained in Google Cloud AutoML.- Chapter 8:  Training an Image Classifier with Transfer Learning on Node.js.- Chapter 9:  Time Series Forecasting and Text Generation with Recurrent Neural Networks.- Chapter 10:  Generating Handwritten Digits with Generative Adversarial Networks.- Chapter 11: Things to Remember, What's Next for You, and Final Words.- Appendix A: Apache License 2.0.

About the Author

Juan De Dios Santos Rivera is a machine learning engineer who focuses on building data-driven and machine learning-driven platforms. As a Big Data Software Engineer for mobile apps, his role has been to build solutions to detect spammers and avoid the proliferation of them. This book goes hand-to-hand with that role in building data solutions. As the AI field keeps growing, developers need to keep extending the reach of our products to every platform out there, which includes web browsers.