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GitHub / XAli-SHX / FPGA-Implementation-of-Image-Processing-for-MNIST-Dataset-Based-on-CNN-Algorithm

FPGA Implementation of Image Processing for MNIST Dataset Based on Convolutional Neural Network Algorithm (CNN)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/XAli-SHX%2FFPGA-Implementation-of-Image-Processing-for-MNIST-Dataset-Based-on-CNN-Algorithm

Stars: 4
Forks: 0
Open issues: 0

License: None
Language: VHDL
Size: 64.9 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: cnn, cnn-keras, deep-learning, fpga, keras, mnist, mnist-handwriting-recognition, neural-network, pl, processing-system, programmable-logic, ps, pynq, pynq-z2, python, tensorflow, verilog, vivado

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