Tinyml
Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
Ranked #4 in Tensorflow, Ranked #7 in Embedded Systems — see more rankings.
Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size--small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware.
Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run... more
Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run... more
Rankings by Category
Tinyml is ranked in the following categories:
- #13 in Arduino
- #70 in Computer Graphics
- #27 in Computer Networks
- #8 in Computer Vision
- #14 in Data Mining
- #70 in Databases
- #10 in Image Processing
- #32 in Mining
- #9 in Natural Language Processing
- #28 in Neural Networks
- #27 in Raspberry Pi
- #41 in System Design
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