Optimizing Deep Learning Acceleration on FPGA for Real-Time and Resource-Efficient Image Classification
Deep learning (DL) has revolutionized image classification, yet deploying convolutional neural networks (CNNs) on edge devices for real-time applications remains a significant challenge due to constraints in computation, memory, and power efficiency. This work presents an optimized implementation of...
| 发表在: | Applied Sciences |
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| Main Authors: | , |
| 格式: | 文件 |
| 语言: | 英语 |
| 出版: |
MDPI AG
2025-01-01
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| 主题: | |
| 在线阅读: | https://www.mdpi.com/2076-3417/15/1/422 |
