/Neural-Networks-and-Deep-Learning-Course-Projects

Projects for the Neural Networks and Deep Learning course

Primary LanguageJupyter Notebook

Intelligent Systems Projects

Contents of each project

CA1

  • Adaline
  • Madaline
  • Perceptron

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CA2

  • Multi Layer Perceptron MLP(Classification)
  • Multi Layer Perceptron MLP(Regression)
  • Dimensionality reduction
    • PCA
    • Autoencoder

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CA3

  • Pattern Association using Hebbian Learning Rule
  • Auto-associative Net
  • Discrete Hopfield Network
  • Bidirectional Associative Memory

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CA4

  • Self Organizing Maps (SOM)
  • MaxNet
  • Mexican Hat
  • Hamming Net

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