ECE 457B

This repository serves to share code and tutorial material for ECE 457B course (Computational Intelligence) - Winter 2021 at the University of Waterloo

Getting Started:

To get started with the course, please install Python and Jupyter Notebook. If you are new to Python, it is recommended you use Anaconda as it allows you to get started right away and is well supported by the community. You can get Anaconda through their official website.

Make sure to have Python version > 3.4 and < 3.8 to be able to run Tensorflow (which will be used in the tutorials).

Direct Links to tutorial notebooks

• Introduction to Programming Tools

  1- Numpy and Matplotlib

  2- Tensorflow

• Multi-Layer Perceptrons

  1- Multi-Layer Perceptrons and Overfitting

  2- Fashion-MNIST

• Sklearn and the Iris Dataset

• KSOM and Introduction to CNNs

  1- Kohonen's Self Organizing Maps

  2- Introduction to CNNs with Keras

• Introduction to PyTorch

• Fuzzy Logic - Intro

• Fuzzy Inferencing Systems

• Fuzzy Inferencing Systems - Further Examples