Price: $79.99 - $37.08
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Publisher ‏ : ‎ Springer; 1st edition (June 24, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 356 pages
ISBN-10 ‏ : ‎ 3031006380
ISBN-13 ‏ : ‎ 978-3031006388
Item Weight ‏ : ‎ 1.48 pounds
Dimensions ‏ : ‎ 7.52 x 0.81 x 9.25 inches

The Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture)

Deep neural networks have revolutionized the field of artificial intelligence, enabling machines to perform complex tasks with unprecedented accuracy. However, training and deploying these networks can be computationally intensive, requiring massive amounts of processing power.

In this post, we will explore the latest research and techniques for efficiently processing deep neural networks. From hardware accelerators to software optimizations, there are a variety of approaches that can help make neural network processing more efficient.

The Synthesis Lectures on Computer Architecture series provides in-depth coverage of cutting-edge research in computer architecture, making it an invaluable resource for engineers and researchers working in the field. With contributions from leading experts, this series offers insights into the latest developments in hardware and software design for deep learning applications.

Whether you are a seasoned professional or a newcomer to the field, the Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture) is a must-read for anyone interested in optimizing the performance of neural networks. Stay tuned for more updates on this exciting topic!
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