Theoretical Proof Of Neural Network Model And Implementation Based On Numpy Save

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。

Project README

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

Open Source Agenda is not affiliated with "Theoretical Proof Of Neural Network Model And Implementation Based On Numpy" Project. README Source: yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

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