TinyML
Machine Learning with TensorFlow Lite on Arduino and UltraLowPower Microcontrollers
by Pete Warden
Should I read this?
Recommended by 1 source and appears in Embedded Systems and Data Science.
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in sizesmall enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete W...
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Why recommended
Recommended by 1 source and appears in Embedded Systems and Data Science.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Massimo Banzi
“@Duderridesalot @arduino @MSFTResearch This post is definitely not for beginner. We wrote some intro articles starting from here I would recommend the book by @petewarden @dansitu it's great”
Appears In
Not sure if this is the right fit?
Consider Deep Learning by Ian Goodfellow. Recommended by 10 sources.
“Equation-forward introduction covering probability, linear-algebra foundations, optimization methods, model families, and common architectures. Sections trade short conceptual summaries for formal derivations and algorithm descriptions; occasional practical notes appear but runnable code is rare. Most useful for building a technical picture of why methods behave as they do and for informed follow-up experimentation. Main limitation: dense notation and extended proofs demand slow, focused study, so readers seeking hands-on walkthroughs will be left wanting.”
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Stuart RussellHow recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.
TinyML
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