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Rohit Sharma
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Introduction to TinyML Kindle Edition

by Rohit Sharma (Author) Format: Kindle Edition
3.9 out of 5 stars 14 ratings
This book is an effort by AI Technology & Systems to demystify the TinyML technology including market, applications, algorithms, tools and technology. the book dive deeper into the technology beyond common application and keep it light for the readers with varying background including students, hobbyists, managers, market researchers and developers. It starts with introduction to TinyML with benefits and scalability. It introduces no-code and low-code tinyML platform to develop production worthy solutions including audio wake word, visual wake word, american sign language and predictive maintenance. Last two chapters are devoted to sensor and hardware agnostic autoML and tinyML compiler technologies.
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  1. Print length
    189 pages
  2. Language
    English
  3. Accessibility
    Learn more
  4. Publication date
    20 July 2022
  5. File size
    12.4 MB
  6. Page Flip
    Enabled
  7. Word Wise
    Not Enabled
  8. Enhanced typesetting
    Enabled
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Product details

  • ASIN ‏ : ‎ B0B662D7ZW
  • Accessibility ‏ : ‎ Learn more
  • Publication date ‏ : ‎ 20 July 2022
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 12.4 MB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 189 pages
  • Page Flip ‏ : ‎ Enabled
  • Customer reviews:
    3.9 out of 5 stars 14 ratings

About the author

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Rohit Sharma

Rohit Sharma

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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.

He is fairly active on following social media channels:

LinkedIn: linkedin.com/in/srohit0/

Twitter: @srohit

Medium: medium.com/@srohit0

Quora: qr.ae/TWGSt9

Github: srohit0.github.io

Customer reviews

3.9 out of 5 stars
14 global ratings

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Top reviews from United Kingdom

There are 0 reviews and 1 rating from United Kingdom

Top reviews from other countries

  • Amazon Customer
    5.0 out of 5 stars ML book for novice tinyml users and embedded programmers
    Reviewed in the United States on 9 November 2022
    Format: Kindle EditionVerified Purchase
    It is a good book for students curious to learn tinyml and embedded machine learning technology to build smart electronics with a freely available no-code platform.

    Fun for novice users using no-code approach, reference for embedded solution providers, and an overview for embedded programmers with 4 different apps and tech stack discussion.
    Customer image
    Amazon Customer
    5.0 out of 5 stars
    ML book for novice tinyml users and embedded programmers

    Reviewed in the United States on 9 November 2022
    It is a good book for students curious to learn tinyml and embedded machine learning technology to build smart electronics with a freely available no-code platform.

    Fun for novice users using no-code approach, reference for embedded solution providers, and an overview for embedded programmers with 4 different apps and tech stack discussion.
    Images in this review
    Customer image
    Report
  • J
    2.0 out of 5 stars Shallow introduction to TinyML using a proprietary platform
    Reviewed in the Netherlands on 19 March 2023
    Format: PaperbackVerified Purchase
    This book was disappointing. The introduction chapter starts of well, explaining the possibilities and merits of TinyML. After that however, the example projects are just step for step introductions using the proprietary platform CAInvas. No real insight is given into the process of training and deploying TinyML models. Only references to the proprietary platform and their ‘low/no-code’ approach. The later chapters on the deepSea/C compiler was lacking detail, and again, this was using a proprietary platform.
    The book is an Amazon print, meaning it is printed-to-order from a digital format like pdf. The images suffer because of this. When I first received the book, I thought there was a printing defect, it was that bad. The book contains hyperlinks in the text, which are of course not available to open in print.. furthermore, a lot of the sources and code are just typed out with long links and pages full of poorly formatted code.
    While I believe that the author meant for this book to be good, and he has the credentials and publishing history (in academia) for it, I would suggest to get another book if you truly want to learn the beginnings of TinyML. All information in this book could have easily been found on the website of the mentioned proprietary platform.
    Report
  • Piyush C.
    5.0 out of 5 stars Must read on Embedded ML
    Reviewed in India on 25 November 2022
    Format: Kindle EditionVerified Purchase
    The book from Prof. Rohit is great to read for beginners trying to make a career in the field of embedded machine learning. Learn how to make applications and create binary files to burn on the CPU of the smart boards and make a simple device, smart. I would like to recommend this book to every electronics and communication (ECE) and computer science (CS) Engineering student.
    Report
  • J. Cross
    1.0 out of 5 stars Poorly edited sales pitch with zero educational value
    Reviewed in the United States on 9 April 2023
    Format: PaperbackVerified Purchase
    This hastily-assembled book mostly tells you how to point and click your way through a proprietary system. What little code there is has such atrocious formatting that I doubt anyone looked at a proof company of this book before selling it.

    Anyone interested in TinyML would be better off with another book or a MOOC.
    Report
  • ONGC A/C Shyam Vashistha CPF No. 94315
    5.0 out of 5 stars TinyML and it's Applications
    Reviewed in India on 14 August 2022
    Format: Kindle EditionVerified Purchase
    This book covers the TinyML thoroughly and includes it's applications in today's technological world. I will suggest it to all who are interested in AI-ML and wish to find practical applications of new buzzword.
    Report

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