Practical TensorFlow.js

Practical TensorFlow.js

Deep Learning in Web App Development

Rivera, Juan De Dios Santos

APress

09/2020

303

Mole

Inglês

9781484262726

15 a 20 dias

504

Descrição não disponível.
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.
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TensorFlow.js;TensorFlow;JavaScript;Artificial Intelligence;Computer Science;Machine Learning;Deep Learning;Data Science;Web Programming;Computer vision;Natural Language Processing;Artificial Neural Networks