Hardware Accelerator Systems for Artificial Intelligence and Machine Learning
Gebonden Engels 2021 9780128231234Levertijd ongeveer 9 werkdagen
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Samenvatting
Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into artificial 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.
Specificaties
ISBN13:9780128231234
Taal:Engels
Bindwijze:Gebonden
Uitgever:Elsevier Science
Serie:Advances in Computers
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Inhoudsopgave
<p>1. Hardware accelerator systems for artificial intelligence and machine learning<br>Shiho Kim<br>2. Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning<br>Neha Gupta<br>3. Deep Learning with GPUs<br>Won Woo Ro<br>4. Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures-Yuri Gordienko<br>Yuri Gordienko<br>5. Architecture of NPU for DNN<br>Kyuho Lee<br>6. Hardware Architecture for Convolutional Neural Network for Image Processing<br>Vardhana M<br>7. FPGA based Neural Network Accelerators<br>Joo-Young Kim<br>8. Energy-Efficient Deep Learning Inference on Edge Devices<br>Massimo Poncino<br>9. Hardware accelerator systems for Embedded systems<br>William Jinho Song<br>10. Generic Quantum Hardware Accelerators for Conventional systems<br>Parth Bir<br>11. Music recommender system using Restricted Boltzmann Machine with Implicit Feedback<br>Malaya Dutta Borah<br>12. Embedded system for Automated Monitoring in Agriculture and Healthcare<br>Prashanta Kumar Das</p>
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