https://github.com/avidlearnerinprogress/neural-network-practice

Lab experiments of Soft Computing Techniques
https://github.com/avidlearnerinprogress/neural-network-practice

bidirectional-associative-memory delta-learning-rule hebbian-learning-rule hopfield-network mp-model neural-network perceptron-learning-rule python winner-take-all

Last synced: about 2 months ago
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Lab experiments of Soft Computing Techniques

• Host: GitHub
• URL: https://github.com/avidlearnerinprogress/neural-network-practice
• Owner: avidLearnerInProgress
• Created: 2018-03-15T06:14:39.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-05T17:14:27.000Z (over 6 years ago)
• Last Synced: 2024-10-11T18:30:04.768Z (3 months ago)
• Topics: bidirectional-associative-memory, delta-learning-rule, hebbian-learning-rule, hopfield-network, mp-model, neural-network, perceptron-learning-rule, python, winner-take-all
• Language: Python
• Homepage:
• Size: 1.52 MB
• Stars: 5
• Watchers: 2
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
Lab Experiments of Soft Computing Techniques  

============================================  

### Contents:  

+ Mcculloch Pitts Model

+ Hebbian Learning Rule

+ Perceptron Learning Rule

+ Delta Learning Rule

+ Winner Take All Learning Rule

+ Error Backpropagation Algorithm

+ Hopfield Networks

+ Bidirectional Associative Memory