https://github.com/siavashshams/neural-networks-and-deep-learning-course-projects

Projects for the Neural Networks and Deep Learning course
https://github.com/siavashshams/neural-networks-and-deep-learning-course-projects

autoencoders bidirectional-associative-memory dimensionality-reduction madaline mexican-hat pca perceptron som

Last synced: 24 days ago
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Projects for the Neural Networks and Deep Learning course

• Host: GitHub
• URL: https://github.com/siavashshams/neural-networks-and-deep-learning-course-projects
• Owner: SiavashShams
• Created: 2022-09-19T18:38:28.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-09-19T19:35:42.000Z (over 2 years ago)
• Last Synced: 2023-09-06T03:04:52.986Z (over 1 year ago)
• Topics: autoencoders, bidirectional-associative-memory, dimensionality-reduction, madaline, mexican-hat, pca, perceptron, som
• Language: Jupyter Notebook
• Homepage:
• Size: 8.32 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Intelligent Systems Projects

 Contents of each project

 ----------

## CA1 

- Adaline

- Madaline

- Perceptron

![This is an image](/Images/CA1.png)

## CA2

- Multi Layer Perceptron MLP(Classification)

- Multi Layer Perceptron MLP(Regression)

- Dimensionality reduction

   - PCA

   - Autoencoder

   

![This is an image](/Images/CA2.png)

## CA3

- Pattern Association using Hebbian Learning Rule

 - Auto-associative Net

 - Discrete Hopfield Network

 - Bidirectional Associative Memory

 

![This is an image](/Images/CA3.png)

 ## CA4

 - Self Organizing Maps (SOM)

 - MaxNet

 - Mexican Hat

 - Hamming Net

 

![This is an image](/Images/CA4.png)