Introduction to TinyML
Learn and create the magic of artificial intelligence with no technical knowledge in a matter of minutes. The author Rohit Sharma brings wonders of AI and Machine Learning to common masses. His book "Introduction to TinyML" teaches you how to build a new "hey google" microphone or "person detection" camera electronic board with no-code platform.
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Introduction to TinyML
Learn and create the magic of artificial intelligence with no technical knowledge in a matter of minutes. The author Rohit Sharma brings wonders of AI and Machine Learning to common masses. His book "Introduction to TinyML" teaches you how to build a new "hey google" microphone or "person detection" camera electronic board with no-code platform.
29.99 In Stock
Introduction to TinyML

Introduction to TinyML

by Rohit Sharma
Introduction to TinyML

Introduction to TinyML

by Rohit Sharma

Paperback

$29.99 
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Overview

Learn and create the magic of artificial intelligence with no technical knowledge in a matter of minutes. The author Rohit Sharma brings wonders of AI and Machine Learning to common masses. His book "Introduction to TinyML" teaches you how to build a new "hey google" microphone or "person detection" camera electronic board with no-code platform.

Product Details

ISBN-13: 9798823105309
Publisher: Barnes & Noble Press
Publication date: 08/14/2022
Pages: 180
Product dimensions: 6.00(w) x 9.00(h) x 0.49(d)

About the Author

Rohit Sharma is a technocrat, author and entrepreneur. He founded two companies, published several papers in international conferences and journals and authored two best seller books on machine intelligence and VLSI cell characterization. He has contributed to ML & EDA domain for over 20 years with TI, Ansys, Cadence and Paripath learning, improvising and designing solutions. He is passionate about many technical topics including AI accelerators, AIoT, EDGE AI, machine learning, analysis, characterization, and VLSI modeling. He has architected several products including guna - an advanced characterization software for modern nodes and deepC Compiler – an open source vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers. He enjoys mentoring and speaking at technical conferences, summits and workshops. He is an adjunct professor at California Science and Technology University and works for AI Technology & Systems (ai-techsystems.com) - a company he founded.
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