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...

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Bibliographic Details
Main Authors: Ahmad Mouri Zadeh Khaki, Ahyoung Choi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/1/422
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