/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

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。

Primary LanguagePythonMIT LicenseMIT

Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

Talk is easy ,show me the proof and code.

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。

Installation

This repo was tested on Python 3.6

pip install numpy

Feedforward neural network 前馈神经网络模型图

Recurrent neural network 循环神经网络模型图