![]() Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. Trademarked names, logos, and images may appear in this book. ![]() All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Practical TensorFlow.js: Deep Learning in Web App Development Juan De Dios Santos Rivera San Juan, PR, USA ISBN-13 (pbk): 978-1-4842-6272-6 Ĭopyright © 2020 by Juan De Dios Santos Rivera This work is subject to copyright. Practical TensorFlow.js Deep Learning in Web App Development Practical TensorFlow.js Deep Learning in Web App Development - Juan De Dios Santos Rivera Things to remember, what’s next for you, and final words (Juan De Dios Santos Rivera).Pages 271-282īack Matter. Generating handwritten digits with generative adversarial networks (Juan De Dios Santos Rivera).Pages 241-270 Time series forecasting and text generation with recurrent neural networks (Juan De Dios Santos Rivera).Pages 203-239 Training an image classifier with transfer learning on Node.js (Juan De Dios Santos Rivera).Pages 185-201 Object detection with a model trained in Google Cloud AutoML (Juan De Dios Santos Rivera).Pages 163-184 Identifying toxic text from a Google Chrome Extension (Juan De Dios Santos Rivera).Pages 151-162 Making a game with PoseNet, a pose estimator model (Juan De Dios Santos Rivera).Pages 125-149 Recognizing handwritten digits with convolutional neural networks (Juan De Dios Santos Rivera).Pages 91-123 Training our first models (Juan De Dios Santos Rivera).Pages 19-76ĭoing k-means with ml5.js (Juan De Dios Santos Rivera).Pages 77-90 Welcome to TensorFlow.js (Juan De Dios Santos Rivera).Pages 1-18
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