# DeepLearning

**Repository Path**: daqingba/DeepLearning

## Basic Information

- **Project Name**: DeepLearning
- **Description**: Deep Learning (Python, C, C++, Java, Scala, Go)
- **Primary Language**: Java
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-06
- **Last Updated**: 2021-06-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

##  Deep Learning (Python, C, C++, Java, Scala, Go)

### Classes :

  - DBN:  Deep Belief Nets

  - CDBN: Deep Belief Nets w/ continuous-valued inputs 

  - RBM:  Restricted Boltzmann Machine

  - CRBM: Restricted Boltzmann Machine w/ continuous-valued inputs

  - dA:   Denoising Autoencoders

  - SdA:  Stacked Denoising Autoencoders

  - LogisticRegression: Logistic Regression

  - HiddenLayer: Hidden Layer of Neural Networks
  
  - MLP: Multiple Layer Perceptron

  - Dropout: Dropout MLP

  - CNN: Convolutional Neural Networks (See [dev branch](https://github.com/yusugomori/DeepLearning/tree/dev).)



### References :
  - Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle: Greedy Layer-Wise
  Training of Deep Networks, Advances in Neural Information Processing
  Systems 19, 2007

  - P. Vincent, H. Larochelle, Y. Bengio, P.A. Manzagol: Extracting and
  Composing Robust Features with Denoising Autoencoders, ICML' 08, 1096-1103,
  2008


  - DeepLearningTutorials
  https://github.com/lisa-lab/DeepLearningTutorials

  - Yusuke Sugomori: Stochastic Gradient Descent for Denoising Autoencoders,
  http://yusugomori.com/docs/SGD_DA.pdf


### Other projects : 
  -  My deep learning projects are [here](http://yusugomori.com/projects/deep-learning/).
　  
　  
  
##### Bug reports / contributions / donations are deeply welcome.
Bitcoin wallet address: 1QAoYw5Y3opvah2APf4jVcpD6UAHyC3k7s