Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Released on by Shiho Kim
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  • Hardware Accelerator Systems for Artificial Intelligence and Machine Learning Book Detail

  • Author : Shiho Kim
  • Release Date : 2021-04-07
  • Publisher : Elsevier
  • Genre : Computers
  • Pages : 414
  • ISBN 13 : 0128231238
  • File Size : 66,66 MB
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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by Shiho Kim PDF Summary

Book Description: 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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