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beauty-of-math-in-deep-learning's Introduction

此工程为 PyCon 2021 的分享代码：深度学习中的数学之美-从0搭建一个神经网络

使用的 MNIST 数字图像数据集。

手写神经网络代码实现

来自《深度学习入门 - 基于 Python 的理论与实现》 simplenet/two_layer_net.py: 手写2层神经网络的实现 simplenet/train_neuralnet.py: 神经网络的训练代码

Tensorflow 2.0 的代码: 5 行实现一个神经网络

可以在 mac m1 上运行。

train.py: 训练代码, 生成模型，并保存模型 predict.py: 预测代码，给定输入的图像文件，输出识别到的数字

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