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Deep Learning with JavaScript: Neural Networks in TensorFlow.js

  • Category: JavaScript Programming
  • Author: Shanqing Cai, Stanley Bileschi, Eric D. Nielsen with Francois Chollet
  • License: Free to read online (entire book) by the publisher.
  • Pages: 350 pages
  • Size: HTML

Read and download free eBook intituled Deep Learning with JavaScript: Neural Networks in TensorFlow.js in format PDF – 350 pages created by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen with Francois Chollet.

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R.

This book shows developers how they can bring Deep learning technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.

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.

Read and Download Links:

Deep Learning with JavaScript: Neural Networks in TensorFlow.js

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