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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。

How to download and setup Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

Open terminal and run command
git clone https://github.com/yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy.git
git clone is used to create a copy or clone of Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy https://github.com/yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy/archive/master.zip

Or simply clone Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy with SSH
[email protected]:yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy.git

If you have some problems with Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

You may open issue on Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy support forum (system) here: https://github.com/yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy/issues

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