Learning TensorFlow.js

eBook Details:

• Paperback: 390 pages
• Publisher: WOW! eBook (June 1, 2021)
• Language: English
• ISBN-10: 1492090794
• ISBN-13: 978-1492090793

eBook Description:

Learning TensorFlow.js: Powerful Machine Learning in JavaScript

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.

• 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

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 Learning TensorFlow.js book, you’ll know how to build and deploy production-ready deep learning systems with TensorFlow.js.

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