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About FPGA - Based Accelerators of Deep LearningNetworks For Learning and Classification
This document reviews FPGA-based accelerators for deep learning networks. Convolutional neural networks have achieved high accuracy in image and speech processing but require intensive CPU operations. FPGA accelerators have been used to improve CNN throughput due to their ability to maximize parallelism and energy efficiency. The paper highlights techniques used by various FPGA accelerators and provides recommendations to enhance FPGA utilization for CNN acceleration.
Detailed Information
| Author: | ['Avinash Baldi'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 37 |
| Language: | English |
| Format: | |
| Price: | FREE |
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