Hardware Architectures for Deep Learning


Hardware Architectures for Deep Learning
by:Masoud Daneshtalab
Release Finelybook 出版日期:2020
ISBN-13 书号:9781785617683
pages 页数:328
Language 语言:English
pages 页数:PDF
Size:17 Mb

Book Description
This book presents and discusses innovative ideas in the design,modelling,implementation,and optimization of hardware platforms for neural networks.
The rapid growth of server,desktop,and embedded applications based on deep learning has brought about a renaissance in interest in neural networks,with applications including image and speech processing,data analytics,robotics,healthcare monitoring,and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency.
Hardware Architectures for Deep Learning provides an overview of this new field,from principles to applications,for researchers,postgraduate students and engineers who work on learning-based services and hardware platforms.


下载地址:

Hardware Architectures for Deep Learning 9781785617683.pdf

觉得文章有用就打赏一下
未经允许不得转载:finelybook » Hardware Architectures for Deep Learning

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

非常感谢你的打赏,我们将继续给力更多优质内容,让我们一起创建更加美好的网络世界!

支付宝扫一扫打赏

微信扫一扫打赏