Title Statements
- Full title :Learning TensorFlow.js : powerful machine learning in JavaScript / Gant Laborde.
Summary
"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."
Edition Statements
- Publication Date:©2021
- Edition:First editiion
Publication Statements
- Publisher(s):O'Reilly Media, Inc
- Place of Publication:Sebastopol, CA
- Language:eng
- Publication Date:©2021
The Physical Object
- Description:xxiii, 312 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9781492090793, 1492090794
- oclc:on1247944050
- LC Classification:Q325.5
- Dewey Decimal:006.3/1
Table of Contents
AI is magic -- Introducing TensorFlow.js -- Introducing tensors -- Image tensors -- Introducing models -- Advanced models and UI -- Model-making resources -- Training models -- Classification models and data analysis -- Image training -- Transfer learning -- Dicify : capstone project.
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