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Code samples for MNielsen's book "Neural Networks and Deep Learning"

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Code samples for "Neural Networks and Deep Learning"

This repository is forked from https://github.com/mnielsen/neural-networks-and-deep-learning No PRs are intended to be created from this repo to the original one; I have created this fork to add comments to the code to make it easier to understand the code.

The code is written for Python 2.6 or 2.7. Michal Daniel Dobrzanski has a repository for Python 3 here. MNielsen will not be updating the current repository for Python 3 compatibility. I may update it though based on difficulties faced with running Python2 and Python3 on the same machine etc.

The program src/network3.py uses version 0.6 or 0.7 of the Theano library. It needs modification for compatibility with later versions of the library. MNielsen will not be making such modifications.

As the code is written to accompany the book, I don't intend to add new features. However, if there are bugs found I may report them. Feel free to fork and modify the code.

How to build and run the code

License

MIT License Copyright (c) 2020 Sohrab Saran Copyright (c) 2012-2018 Michael Nielsen

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Code samples for MNielsen's book "Neural Networks and Deep Learning"

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