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This repository contains various networks implementation such as MLP, Hopfield, Kohonen, ART, LVQ1, Genetic algorithms, Adaboost and fuzzy-system, CNN with python.

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ghazaleh-mahmoodi/Neural_Networks

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Neural Networks Learning

  1. MLP with Numpy: Report - implementation
  2. MLP with Keras: Report - implementation
  3. Kohonen’s Self-Organizing Feature Map: Report - implementation
  4. Image detection - Hopfield: Report - implementation
  5. Function approximation - RBF vs. MLP: Report - implementation
  6. Roots of Polynominal (Genetic Algorithm): Report - implementation
  7. Traveling Salesman (Genetic Algorithm): Report - implementation
  8. ART: Report - implementation
  9. LVQ1: Report - implementation
  10. MNIST Dense: Report - implementation
  11. MNIST Dense Remove Noise: Report - implementation
  12. MNIST CNN: Report - implementation
  13. MNIST CNN Remove Noise: Report - implementation
  14. Adaboost vs. Fully Connected Nueral Network: implementation
  15. Inverted Pendulum (Fuzzy): implementation
  16. Inverted Pendulum (Q-Learning): Report - implementation - Video
  17. Fuzzy Fan: Report - implementation
  18. Mountain Car Continuous (Fuzzy): Report - implementation - Video
  19. Frozen Lake (Q-Learning): Report - implementation
  20. multi layer perceptron (MLP) step by step: Report - implementation