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Více informací o knize Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

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Anotace knihy

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. Updates on new information on the architecture of GPU, NPU and DNNDiscusses In-memory computing, Machine intelligence and Quantum computingIncludes sections on Hardware Accelerator Systems to improve processing efficiency and performance

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics

• Plný název: Hardware Accelerator Systems for Artificial Intelligence and Machine Learning
• Autor: Shiho Kim, Ganesh Chandra Deka
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 416
• EAN: 9780128231234
• ID: 33270869
• Nakladatelství: Elsevier Science Publishing Co Inc
• Hmotnost: 820 g
• Rozměry: 229 × 152 × 24 mm
• Datum vydání: 07. April 2021

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