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Math for Deep Learning
book

Math for Deep Learning

by Ronald T. Kneusel
October 2021
Intermediate to advanced
344 pages
8h 51m
English
No Starch Press
Content preview from Math for Deep Learning

FOREWORD

Artificial intelligence (AI) is ubiquitous. You need look no further than the device in your pocket for evidence—your phone now offers facial recognition security, obeys simple voice commands, digitally blurs backgrounds in your selfies, and quietly learns your interests to give you a personalized experience. AI models are being used to analyze mountains of data to efficiently create vaccines, improve robotic manipulation, build autonomous vehicles, harness the power of quantum computing, and even adjust to your proficiency in online chess. Industry is adapting to ensure state-of-the-art AI capabilities can be integrated into its domain expertise, and academia is building curriculum that exposes concepts of artificial intelligence to ...

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Publisher Resources

ISBN: 9781098129101