Welcome to the Course!

1402/11/23

Image Data

• Website: Image Processing in Python with Scikit-image by M. Jaderian
  • Scikit-image documentation
  • Scikit-image examples
• Website: Image Processing in Python with OpenCV by M. Kiani
• Github: Tutorial for Image Processing in Python by Shaoning Zeng
• Book: Image processing tutorials

HW1Template Matching from Scrach, due date: 1402/12/03

Further Reading

Some published papers

GitHub Pages

HW2Create your own GitHub page, due date: 1402/12/04

1402/12

Regression & Neural Networks

The initial section of the course focuses on Neural Networks, which can be accessed through this Jupyter-book or the PDF of the book.

Regularization

• Regularization in Machine Learning
• Regularization in Machine Learning (with Code Examples)
• Logistic regression with L2 regularization for binary classification

1403

Linear Models, Kernel Methods, Bayesian and Ensemble Learning

The other section of the course focuses on other Learning Concepts, which can be accessed through this Jupyter-book.

Genetic Algorithm

• GA Slides
• PyGAD: Python library for building the genetic algorithm
  • ColabPyGAD Sample
• GA Book: Genetic Algorithms with Python
  • Github
  • ColabA GA Sample without unittest
• Python unittest (Optional)
  • Persian Tutorial
  • unittest sample, onlinegdb
  • Colabunittest sample
  • quera.org