Description: Learning Tensorflow.js by Gant Laborde 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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.Youll 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, youll know how to build and deploy production-ready deep 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" Author Biography Gant Laborde is a proud New Orleans native and adventurous engineer. His accolades include being an owner of Infinite Red, mentor, adjunct professor, published author, and award-winning speaker. As a developer for over 20 years, he has spoken at hundreds of conferences and trained numerous developers. As a Google Developer Expert in both machine learning and the web, he covers TensorFlow.js from multiple perspectives to make the concept approachable. Details ISBN1492090794 Author Gant Laborde Short Title Learning Tensorflow. js Language English Year 2021 ISBN-10 1492090794 ISBN-13 9781492090793 Format Paperback Audience Professional and Scholarly Subtitle Powerful Machine Learning in JavaScript Pages 300 Place of Publication Sebastopol Country of Publication United States Publication Date 2021-05-18 UK Release Date 2021-05-18 AU Release Date 2021-05-18 NZ Release Date 2021-05-18 US Release Date 2021-05-18 Imprint OReilly Media Edited by Matthaeus Ware Birth 1955 Affiliation University of St. Gallen, Switzerland Position Contributor Qualifications MD Publisher OReilly Media DEWEY 006.31 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:132104946;
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ISBN-13: 9781492090793
Book Title: Learning Tensorflow.js
Item Height: 233 mm
Item Width: 178 mm
Author: Gant Laborde
Publication Name: Learning Tensorflow.JS: Powerful Machine Learning in Javascript
Format: Paperback
Language: English
Publisher: O'reilly Media, Inc, USA
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Number of Pages: 300 Pages