Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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

Last synced: 2 months ago
JSON representation

Tutorial of DeepLearning.scala

Host: GitHub
URL: https://github.com/izhangzhihao/deeplearning-tutorial
Owner: izhangzhihao
Created: 2017-01-23T02:13:05.000Z (almost 8 years ago)
Default Branch: 2.0.x
Last Pushed: 2017-07-25T12:31:02.000Z (over 7 years ago)
Last Synced: 2024-10-04T13:40:45.189Z (3 months ago)
Topics: complex-neural-networks, deep-learning, deep-learning-tutorial, deep-neural-networks, deeplearning, deeplearning-demo, deeplearning-notebooks, neural-networks, scala
Language: Scala
Homepage: http://deeplearning.thoughtworks.school/
Size: 431 KB
Stars: 17
Watchers: 3
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # 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)