Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Volume 122

By: Shiho Kim (Editor), Ganesh Chandra Deka (Editor)

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Hardcover | 7 April 2021 | Edition Number 1

At a Glance

Hardcover
416 Pages

Dimensions(cm)
24.13 x 16.51 x 2.54

Hardcover

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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

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