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Embedded Machine Learning

by Embedded Machine Learning

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Description

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.

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Product Details

  • Our Knowledge Publishing Brand
  • Oct 4, 2024 Pub Date:
  • 6208158656 ISBN-10:
  • 9786208158651 ISBN-13:
  • English Language
  • 9 in * 0.13 in * 6 in Dimensions:
  • 0 lb Weight: