Preview "Learning TensorFlow.js" in a new window.

Learning TensorFlow.js

Authors

Book Description

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 learning and 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.

Explore tensors, the most fundamental structure of machine learningConvert data into tensors and back with a real-world exampleCombine AI with the web using TensorFlow.jsUse resources to convert, train, and manage machine learning dataBuild and train your own training models from scratch

In The Press

About the Author

Read on Your Favourite Devices

to find out more

Ebook Permissions

to find out more

About this Ebook

File formats
This ebook is available in:
The publisher has not yet supplied format information.
Pre-order formats shown are based on publisher intent and may change before release.
File sizes shown are an approximation. The actual download size will vary based on the application you use to read the book.
Publisher
Published
; Copyright:
ISBNs
Title
Series
Author
;
Edition
Imprint
Language
Number of Pages
Page count shown is an approximation provided by the publisher. The actual page count will vary based on various factors such as your device's screen size and font-size.