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Design and Implementation of a Convolutional Neural Network Hardware Accelerator Based on FPGA

This article introduces a convolutional neural network hardware accelerator project implemented on an FPGA platform. The project is optimized for the MNIST handwritten digit recognition task and demonstrates the practical value of hardware-software co-design in edge AI applications.

FPGA卷积神经网络硬件加速器MNIST边缘计算深度学习量化
Published 2026-05-11 07:56Recent activity 2026-05-11 07:59Estimated read 1 min
Design and Implementation of a Convolutional Neural Network Hardware Accelerator Based on FPGA
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Section 01

导读 / 主楼:Design and Implementation of a Convolutional Neural Network Hardware Accelerator Based on FPGA

Introduction / Main Post: Design and Implementation of a Convolutional Neural Network Hardware Accelerator Based on FPGA

This article introduces a convolutional neural network hardware accelerator project implemented on an FPGA platform. The project is optimized for the MNIST handwritten digit recognition task and demonstrates the practical value of hardware-software co-design in edge AI applications.