All Projects → yuanxiaosc → Theoretical Proof Of Neural Network Model And Implementation Based On Numpy
yuanxiaosc / Theoretical Proof Of Neural Network Model And Implementation Based On Numpy
Licence: mit
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。
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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
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