Deep Learning with JavaScript: Neural Networks in Tensorflow.Js

Cai, Shanqing, Bileschi, Stan, Nielsen, Eric




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.

Deep Learning with JavaScript shows developers how they can bring DL 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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.


深度學習已經改變了計算機視覺、圖像處理和自然語言應用領域。感謝 TensorFlow.js,現在 JavaScript 開發人員可以在不依賴 Python 或 R 的情況下構建深度學習應用程式。

《使用 JavaScript 進行深度學習》一書向開發人員展示了如何將深度學習技術應用於網頁。這本新書由 TensorFlow 庫的主要作者撰寫,提供了有趣的使用案例和深入的指導,讓您可以在瀏覽器或 Node 上使用 JavaScript 開發深度學習應用程式。

購買印刷版書籍還包括一本免費的電子書(PDF、Kindle 和 ePub 格式),由 Manning Publications 提供。


Shanqing Cai is one of the developers of TensorFlow, a popular open-source framework for deep learning and artificial intelligence.

Stan Bileschi is the technical lead for Google's TensorFlow Usability team, which built the TensorFlow Layers API.

Eric Nielsen is a senior software engineer on the Google Brain team.


Shanqing Cai 是 TensorFlow 的開發者之一,TensorFlow 是一個流行的開源框架,用於深度學習和人工智慧。

Stan Bileschi 是 Google TensorFlow 可用性團隊的技術負責人,該團隊建立了 TensorFlow Layers API。

Eric Nielsen 是 Google Brain 團隊的高級軟體工程師。