# DeepLearning

**Repository Path**: mirrors_alvations/DeepLearning

## Basic Information

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

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-24
- **Last Updated**: 2026-02-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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

### 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



### 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



### Bug reports are deeply welcome.