[VielBiern]

Learning TensorFlow.js: Powerful Machine Learning in JavaScript by Gant Laborde
Requirements: .ePUB reader, 17 mb
Overview: Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learningand the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.

You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
ePUB
Code (159 mb)

Mirror:
ePUB
Code (159 mb)

Trouble downloading? Read This.