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https://github.com/izhangzhihao/deeplearning-tutorial

Tutorial of DeepLearning.scala
https://github.com/izhangzhihao/deeplearning-tutorial

complex-neural-networks deep-learning deep-learning-tutorial deep-neural-networks deeplearning deeplearning-demo deeplearning-notebooks neural-networks scala

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Tutorial of DeepLearning.scala

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# Tutorial of DeepLearning.scala [![Build Status](https://travis-ci.org/izhangzhihao/deeplearning-tutorial.svg?branch=master)](https://travis-ci.org/izhangzhihao/deeplearning-tutorial) [![Build status](https://ci.appveyor.com/api/projects/status/fvxjskxa9oqwqpel/branch/master?svg=true)](https://ci.appveyor.com/project/izhangzhihao/deeplearning-tutorial/branch/master) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/09b2f5a4d06547a38ce425e7c7fae869)](https://www.codacy.com/app/izhangzhihao/deeplearning-tutorial?utm_source=github.com&utm_medium=referral&utm_content=izhangzhihao/deeplearning-tutorial&utm_campaign=badger)

**DeepLearning.scala** is a DSL for creating complex neural networks.

With the help of DeepLearning.scala, regular programmers are able to build complex neural networks from simple code. You write code almost as usual, the only difference being that code based on DeepLearning.scala is [differentiable](https://colah.github.io/posts/2015-09-NN-Types-FP/), which enables such code to evolve by modifying its parameters continuously.

## NOTE: Please do NOT download this repo,because if you download this repo ,you will find the notebooks dir is empty. So ,please use git clone ,after that , use `git submodule init` & `git submodule update` to clone the notebooks(git submodule).

### [Jupyter notebook installation](https://github.com/alexarchambault/jupyter-scala)

## Tutorial index

### 1 - Getting Start
- [getting start](https://github.com/thoughtworksinc/deeplearning.scala-website/blob/v1.0.0-doc/ipynbs/GettingStarted.ipynb)
- [how to debug](https://github.com/thoughtworksinc/deeplearning.scala-website/blob/v1.0.0-doc/ipynbs/Debug.ipynb)
- [softmax](https://github.com/thoughtworksinc/deeplearning.scala-website/blob/v1.0.0-doc/ipynbs/SoftmaxLinearClassifier.ipynb)
- [mini-batch gradient descent](https://github.com/thoughtworksinc/deeplearning.scala-website/blob/v1.0.0-doc/ipynbs/MiniBatchGradientDescent.ipynb)
- [two layer net](https://github.com/thoughtworksinc/deeplearning.scala-website/blob/v1.0.0-doc/ipynbs/TwoLayerNet.ipynb)
- [CNNs](https://github.com/thoughtworksinc/deeplearning.scala-website/blob/v1.0.0-doc/ipynbs/CNNs.ipynb)