https://github.com/yusugomori/DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)
https://github.com/yusugomori/DeepLearning

deep-learning

Last synced: 3 months ago
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Deep Learning (Python, C, C++, Java, Scala, Go)

• Host: GitHub
• URL: https://github.com/yusugomori/DeepLearning
• Owner: yusugomori
• License: mit
• Created: 2013-01-01T16:23:53.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2021-10-01T16:30:16.000Z (about 3 years ago)
• Last Synced: 2024-02-14T23:36:17.173Z (9 months ago)
• Topics: deep-learning
• Language: Java
• Homepage: https://yusugomori.com
• Size: 137 KB
• Stars: 3,032
• Watchers: 414
• Forks: 1,437
• Open Issues: 34
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

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

### Publication :

  - More detailed Java implementations are introduced in my book, Java Deep Learning Essentials.

    The book is available from [Packt Publishing](https://www.packtpub.com/big-data-and-business-intelligence/java-deep-learning-essentials) or [Amazon](http://www.amazon.com/Deep-Learning-Java-Yusuke-Sugomori/dp/1785282190/).

  

##### Bug reports / contributions / donations are deeply welcome.

Bitcoin wallet address: 34kZarc2uBU6BMCouUp2iudvZtbmZMPqrA