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纯Python实现CNN识别手写体数字+GUI

由于把数据集也传上来了，导致下载时间比较长，我打包了一份放在服务器，点击这里进行下载

项目文件结构如下所示

.
├── common
│   ├── functions.py
│   ├── gradient.py
│   ├── layers.py
│   ├── optimizer.py
│   ├── trainer.py
│   └── util.py
├── dataset
│   ├── mnist.pkl
│   ├── mnist.py
│   ├── t10k-images-idx3-ubyte.gz
│   ├── t10k-labels-idx1-ubyte.gz
│   ├── train-images-idx3-ubyte.gz
│   └── train-labels-idx1-ubyte.gz
├── deep_convnet_params.pkl
├── deep_convnet.py
├── mnist_cnn_gui_main.py
├── params.pkl
├── qt
│   ├── layout.py
│   ├── layout.ui
│   ├── paintboard.py
│   └── ui2py.sh
├── simple_convnet.py
├── train_convnet.py
└── train_deepnet.py

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