GitHub / yuanxiaosc / 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。

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yuanxiaosc%2FTheoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
PURL: pkg:github/yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

Topics: backpropagation, neural-network, numpy-neuralnet-exercise, proof-of-concept

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• Readme
• Dependencies