Hardware accelerator systems for artificial intelligence and machine learning. (2021)

• Record Type: Book
• Further Information: Note: Editors, Shiho Kim, Ganesh Chandra Deka.
• Editors: Kim, Shiho; Deka, Ganesh Chandra, 1969-
• Contents: 1. Hardware accelerator systems for artificial intelligence and machine learning Shiho Kim 2. Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning Neha Gupta 3. Deep Learning with GPUs Won Woo Ro 4. Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures-Yuri Gordienko Yuri Gordienko 5. Architecture of NPU for DNN Kyuho Lee 6. Hardware Architecture for Convolutional Neural Network for Image Processing Vardhana M 7. FPGA based Neural Network Accelerators Joo-Young Kim 8. Energy-Efficient Deep Learning Inference on Edge Devices Massimo Poncino 9. Hardware accelerator systems for Embedded systems William Jinho Song 10. Generic Quantum Hardware Accelerators for Conventional systems Parth Bir 11. Music recommender system using Restricted Boltzmann Machine with Implicit Feedback Malaya Dutta Borah 12. Embedded system for Automated Monitoring in Agriculture and Healthcare Prashanta Kumar Das
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 006.31; Machine learning; Artificial intelligence; Computer systems; Signal processing
• Languages: English
• ISBNs: 9780128231241
• Related ISBNs: 9780128231234
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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