https://github.com/vpanjeta/deep-learning-models

Deep Learning Models implemented in python.
https://github.com/vpanjeta/deep-learning-models

cnn da deep-belief-nets deep-learning deeplearning denoising-autoencoders mlp models multi-layer-perceptron python rbm restricted-boltzmann-machine sda

Last synced: about 1 month ago
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Deep Learning Models implemented in python.

• Host: GitHub
• URL: https://github.com/vpanjeta/deep-learning-models
• Owner: VPanjeta
• Created: 2016-12-24T15:50:55.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-19T14:56:25.000Z (almost 8 years ago)
• Last Synced: 2024-01-08T02:10:59.661Z (12 months ago)
• Topics: cnn, da, deep-belief-nets, deep-learning, deeplearning, denoising-autoencoders, mlp, models, multi-layer-perceptron, python, rbm, restricted-boltzmann-machine, sda
• Language: Python
• Size: 29.3 KB
• Stars: 17
• Watchers: 4
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Deep-Learning-Models

Deep Learning Models implemented in python using numpy arrays. 


Inspired by Deep learning repository https://github.com/yusugomori/DeepLearning/tree/master/cpp 


Files added: 


1. fucntions.py - Contains the necessary functions for the models. It will be updated frequently as the functions are used in the uploaded files.


2.  RBM.py      - Restricted Boltzmann Machine. (A Boltzmann Machine with 2 bipartite layers (visible and hidden)


3.  HL.py       - Hidden Layer : The layers above the input layers. 


4.  LR.py       - Logistic regression class.


5.  DBN.py      - Deep Belief Nets, A multi layer Restricted Boltzmann Machine.


6.  CRBM.py     - Restricted Boltzmann Machine with continuous valued-inputs. Extends the RBM to capture temporal dependencies. 


7.  CDBN.py     - Deep Belief Nets with continued value points input. 


8.  MLP.py      - Multi Layer Perceptron.


9.  dA.py       - Denoising Autoencoder.


10. SdA.py      - Stacked denoising Autoencoders. 


11. CPL.py  	- Convolution and Max Pooling.


12. CNN.py 		- Convolutional Neural Network.


13. SVM.py  	- Support Vector Machine.