Embedded Machine Learning

By Afef Mdhaffar

This book represents a first step towards embedded machine learning. It presents techniques for optimizing and compressing deep learning models. These techniques make it easier to deploy a high-performance, lightweight deep learning model on resource-constrained devices such as smartphones and microcontrollers. This paper also explores a topical knowledge transfer technique, namely knowledge distillation. This technique makes it possible to improve the performance of a lightweight deep learning model, while transferring to it the knowledge of a complex, high-performance deep learning model. All these techniques have been detailed in this book and illustrated with practical Python implementations, generally based on the use of the pytorch and tensorflow libraries.

• Format: Paperback
• Language: English
• ISBN: 6208158656
• ISBN13: 9786208158651
• Release Date: October 2024
• Publisher: Our Knowledge Publishing
• Length: 56 Pages
• Weight: 0.21 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"