£110.49

Academic Press Hardware Accelerator Systems for AI and ML Vol 122

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Description

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning (Volume 122) provides a comprehensive look at the rapid growth of Deep Neural Networks (DNNs) and Machine Learning. As part of the Advances in Computers series, this volume addresses the evolving technical landscape required to support modern computational demands. This text covers essential topics including Deep Learning with GPUs and the architecture of specialized systems. Readers will find information on Edge Computing and the optimization of Deep Learning models specifically for specialized Tensor Processing Architectures. By examining the intersection of hardware and software, this book serves as a technical resource for understanding how hardware accelerator systems support the current expansion of artificial intelligence technologies.

Key Features

Explores the development of Hardware Accelerator Systems specifically designed for artificial intelligence and machine learning applications.

Provides detailed information on Deep Learning implementations using GPUs to enhance computational performance.

Covers Edge Computing strategies to manage machine learning tasks in decentralized environments.

Discusses the optimization of Deep Learning models for specialized Tensor Processing Architectures.

Analyzes the architectural requirements necessary to support the growth of Deep Neural Networks (DNNs).

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
11 April 2021
Listed Since
01 February 2020

Barcode

No barcode data available

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