/dl_tutorial

Machine Learning and Deep Learning Tutorial

Machine Learning and Deep Learning Tutorial

Machine Learning and Deep learning Tutorial (shortly ML/DL Tutorial) has been initiated to teach undergraduate students in SEOULTECH about basic concepts of machine learning and deep learning with hands-on practices using scikit-learn and PyTorch. Even though there are so many good lectures and tutorials on machine learning and deep learning, I would like to share my viewpoint and summary with humble slides and examples because I also have learned many things from open and public lectures, tutorials, and articles. I hope that my slides and examples are also helpful to others.

  • To clone this repository (codes and slides): git clone https://github.com/mint-lab/dl_tutorial.git
  • To fork this repository to your Github: Click here
  • To download codes and slides as a ZIP file: Click here

This tutorial is the last part of my lecture. Its prior knowledge on Python and mathematics is also available in Programming Meets Mathematics.

ML/DL Lecture Slides

ML Example Codes

📝 Source codes are enumerated in the order of its lecture slides.

DL Example Codes

📝 Source codes are enumerated in the order of its lecture slides.

Note) All examples contain their basic NN architectures and hyperparameters. One of main objectives in practices will be their performance improvement by changing the architectures and selecting hyperparameters.

License

Authors