Hardware accelerator systems for artificial intelligence and machine learning /

Saved in:
Bibliographic Details
Imprint:Cambridge, MA : Academic Press, 2021.
Description:1 online resource.
Language:English
Series:Advances in computers ; v. 122
Advances in computers ; v. 122.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12592465
Hidden Bibliographic Details
Other authors / contributors:Kim, Shiho.
Deka, Ganesh Chandra, 1969-
ISBN:9780128231241
0128231246
9780128231234
0128231238
Other form:ebook version : 9780128231241
Original 0128231238 9780128231234
Description
Summary:Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance
Physical Description:1 online resource.
ISBN:9780128231241
0128231246
9780128231234
0128231238