Learning Tensorflow Js
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Learning TensorFlow.js
Author: Gant Laborde
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-05-10
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 learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js Use resources to convert, train, and manage machine learning data Build and train your own training models from scratch
Introduction to Machine Learning with TensorFlow. Js
Many exciting things are happening with machine learning, from which, until recently, JavaScript developers were largely shut out. However, things are changing, now if you can do "npm install @tensorflow/tfjs", you can do machine learning. This absolute beginner book takes someone with no knowledge of Machine Learning and teaches them the basics. The book will teach how to use the TensorFlow.JS library, a complete re-write of the popular TensorFlow package in JavaScript. If you want to get a taste of what this exciting field has to offer, if you want to talk to other AI specialists in a language they understand, then this book is for you. You'll learn: - What are Neural Networks, and how is it related to Machine Learning? - What is TensorFlow.js, and how to use it? - The essential mathematics. - How to build and train a neural network to solve regression and classification tasks. - How to use pre-trained models. - How to use transfer learning to generate powerful machine learning models in the browser, without expensive computation on servers. You will learn hands-on by creating 6 different applications, including a handwriting recogniser and a webcam-based hand-sign recogniser. Taught by Asim Hussain, co-organiser of the AI JavaScript London Meetup and co-creator of https://aijs.rocks and community member of the W3C Machine Learning Group.
Hands-On Machine Learning with TensorFlow.js
Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.
