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Interlake Computer Vision Club Resources

Contents

  • Comprehensive slides covering decision trees, linear/logistic regression, convolutional neural networks (CNNs), Recurrent neural networks (RNNs), and model optimization techniques.
  • Practice exercises focused on logistic regression, CNNs to reinforce learning, and RNN character predictors.
  • Project guidelines for building linear regression and CNN models to apply theoretical knowledge.
  • Machine learning models developed by the current Club President, available as inspiration for members seeking ideas for new projects.

#Upcoming

  • Slides on the different types of RNNs

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Has slides on different machine learning models and different practice problems and projects for people to try.

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