Situnayake

TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers by Pete Warden, Daniel Situnayake
English | December 30th, 2019 | ISBN: 1492052043 | 504 pages | EPUB (True/Retail Copy) | 27.04 MB

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.
TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers by Pete Warden, Daniel Situnayake
2020 | ISBN: 1492052043 | English | 504 pages | True PDF | 23 MB

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning  eBooks & eLearning

Posted by IrGens at Sept. 28, 2023
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake, Jenny Plunkett
English | February 14, 2023 | ISBN: 1098120205 | True PDF | 512 pages | 165 MB

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning  eBooks & eLearning

Posted by First1 at Sept. 9, 2023
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake, Jenny Plunkett
English | February 14th, 2023 | ISBN: 1098120205 | 512 pages | True EPUB (Retail Copy) | 20.46 MB

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

AI at the Edge [Audiobook]  Audiobooks

Posted by hill0 at Dec. 2, 2023
AI at the Edge [Audiobook]

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
Author: Daniel Situnayake, Jenny Plunkett
Narrator: Suzie Althens

English | 2023 | ASIN: B0CP2RM9FK | MP3@64 kbps | Duration: 17h 16m | 1.17 GB