Tiny ML
machine learning with tensorflow lite on arduino and ultra-low-power microcontrollers
$105.97
- Paperback
501 pages
- Release Date
3 January 2020
Summary
TinyML: Machine Learning on Microcontrollers
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size–small 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 Warden and Daniel Situnayake explain how you can train models small enough to fit int…
Book Details
| ISBN-13: | 9781492052043 |
|---|---|
| ISBN-10: | 1492052043 |
| Author: | Pete Warden |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 501 |
| Release Date: | 3 January 2020 |
| Weight: | 880g |
| Dimensions: | 240mm x 175mm x 30mm |
About The Author
Pete Warden
Pete Warden is technical lead for mobile and embedded TensorFlow. He was CTO and founder of Jetpac, which was acquired by Google in 2014, and previously worked at Apple. He was a founding member of the TensorFlow team, and blogs about practical deep learning.
Daniel Situnayake leads developer advocacy for TensorFlow Lite at Google. He co-founded Tiny Farms, the first US company using automation to produce insect protein at industrial scale. He began his career lecturing in automatic identification and data capture at Birmingham City University.
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