Code samples for my book "Neural Networks and Deep Learning"

Overview

Code samples for "Neural Networks and Deep Learning"

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.

License

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.

Owner
Michael Nielsen
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Michael Nielsen
[ICCV 2021] Official PyTorch implementation for Deep Relational Metric Learning.

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[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

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[ICML 2021] A fast algorithm for fitting robust decision trees.

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