TY  - BOOK
AU  - Munir Arslan 
AU  - Kong Joonho
AU  - Qureshi Mahmood Azhar
TI  - Accelerators for Convolutional Neural Networks
SN  - 9781394171880
U1  - 006.31 
PY  - 2024///
CY  - New Jersey
PB  - Wiley
KW  - Convolutional Neural Networks-Overview
KW  - Compressive Coding for CNNs
KW  - Dense CNN Accelerators
KW  - Spare CNN Accelerators
KW  - Hardware/Software Co-Design
KW  - CPU-Accelerator Co-Scheduling for CNN Acceleration
N2  - Accelerators for Convolutional Neural Networks provides basic deep learning knowledge and instructive content to build up convolutional neural network (CNN) accelerators for the Internet of things (IoT) and edge computing practitioners, elucidating compressive coding for CNNs, presenting a two-step lossless input feature maps compression method, discussing arithmetic coding -based lossless weights compression method and the design of an associated decoding method, describing contemporary sparse CNNs that consider sparsity in both weights and activation maps, and discussing hardware/software co-design and co-scheduling techniques that can lead to better optimization and utilization of the available hardware resources for CNN acceleration
ER  -