项目描述 ：
This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

高级语言： Python

项目主页： https://yuanxiaosc.github.io/2018/06/21/%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD%E7%AE%97%E6%B3%95/

项目地址: git://github.com/yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy.git

创建时间： 2019-05-21T13:51:57Z
项目社区：https://github.com/yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
开源协议：MIT License
关键词：
backpropagation neural-network numpy-neuralnet-exercise proof-of-concept
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