This repository contains code samples for my book on "Neural Networks and Deep Learning".
The code is written for Python 2.6 or 2.7. Michal Daniel Dobrzanski has a repository for Python 3 here. I will not be updating the current repository for Python 3 compatibility.
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. I will not be making such modifications.
As the code is written to accompany the book, I don't intend to add new features. However, bug reports are welcome, and you should feel free to fork and modify the code.
MIT License
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.
These scrips are updated ones from the neuralnetworksanddeeplearning.com gitHub repository in order to work with Python 3.5.2
The testing file (test.py) contains all three networks (network.py, network2.py, network3.py) from the book and it is the starting point to run (i.e. train and evaluate) them.
In test.py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book.
Disributed under MIT License. Link.