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Deep Learning with JavaScript (Paperback): Shanqing Cai, Stanley Bileschi, Eric Nielsen, Francois Chollet Deep Learning with JavaScript (Paperback)
Shanqing Cai, Stanley Bileschi, Eric Nielsen, Francois Chollet
R1,087 Discovery Miles 10 870 Ships in 10 - 15 working days

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. Deploying computer vision, audio, and natural language processing in the browser Fine-tuning machine learning models with client-side data Constructing and training a neural network Interactive AI for browser games using deep reinforcement learning Generative neural networks to generate music and pictures TensorFlow.js is an open-source JavaScript library for defining, training, and deploying deep learning models to the web browser. It's quickly gaining popularity with developers for its amazing set of benefits including scalability, responsiveness, modularity, and portability. Shanging Cai and Eric Nielsen are senior software engineers on the Google Brain team. Stan Bileschi is the technical lead for Google's TensorFlow Usability team, which built the TensorFlow Layers API. All three have advanced degrees from MIT. Together, they're responsible for writing most of TensorFlow.js.

Quick Python Book, The (Paperback, 3rd ed.): Shanqing Cai, Stanley Bileschi, Eric Nielsen, Francois Chollet Quick Python Book, The (Paperback, 3rd ed.)
Shanqing Cai, Stanley Bileschi, Eric Nielsen, Francois Chollet
R1,002 R906 Discovery Miles 9 060 Save R96 (10%) Ships in 10 - 15 working days

This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. This edition covers 5 years' worth of minor updates to the language, and the last 5 chapters have been reworked to be data based project work. Key features: * Clear introduction * Completely up-to-date * Hands-on experience The book is aimed at readers who know programming but for whom the Python language is new. About the Technology: Python is a true cross-platform language. It can be used to develop small applications and rapid prototypes, but scales well to permit development of large programs. It comes with a powerful and easy-to-use graphical user interface (GUI) toolkit, web programming libraries and more. And it's free!

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