Deep Learning with JavaScript
- 书名：Deep Learning with JavaScript
- 作者： Shanqing Cai Stanley Bileschi Francois Chollet Eric D. Nielsen
- 格式：EPUB,AZW3,MOBI
- 时间：2024-01-28
- 评分：
- ISBN：9781617296178
In Deep Learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation.
what's inside
Image and language processing in the browser
Tuning ML models with client-side data
Text and image creation with generative deep learning
Source code samples to test and modify
Shanging Cai, Stanley Bileschi and Eric D. Nielsen are software engineers with experience on the Google Brain team, and were crucial to the development of the high-level API of TensorFlow.js. This book is based in part on the classic, Deep Learning with Python by François Chollet.
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