Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design
|
Not currently available
Efficient Processing of Deep Neural Networks (Paperback)
Loot Price: R2,530
Discovery Miles 25 300
|
|
Efficient Processing of Deep Neural Networks (Paperback)
Series: Synthesis Lectures on Computer Architecture
Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.
|
This book provides a structured treatment of the key principles and
techniques for enabling efficient processing of deep neural
networks (DNNs). DNNs are currently widely used for many artificial
intelligence (AI) applications, including computer vision, speech
recognition, and robotics. While DNNs deliver state-of-the-art
accuracy on many AI tasks, it comes at the cost of high
computational complexity. Therefore, techniques that enable
efficient processing of deep neural networks to improve
metrics-such as energy-efficiency, throughput, and latency-without
sacrificing accuracy or increasing hardware costs are critical to
enabling the wide deployment of DNNs in AI systems. The book
includes background on DNN processing; a description and taxonomy
of hardware architectural approaches for designing DNN
accelerators; key metrics for evaluating and comparing different
designs; features of the DNN processing that are amenable to
hardware/algorithm co-design to improve energy efficiency and
throughput; and opportunities for applying new technologies.
Readers will find a structured introduction to the field as well as
a formalization and organization of key concepts from contemporary
works that provides insights that may spark new ideas
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.