Materials for Lectures/Invited Talks

• (May 4, 2024) Special Lecture on Advanced Deep Learning with Python

• Part 1: Convolutional Networks [Slides][Colab: ResNet for CIFAR-10]

• Part 2: Generative Models [Slides][Colab: VAE][Colab: GAN]

• (Jun 2023; KDMS) Challenges of Deep Learning in Real-World Environments [slides]

• (Jan 2023; Korean AI Association) Recent Advances in Self-Supervised Deep Visual Representation Learning [slides]

• ResNet for CIFAR-10 [Colab]

External Links

• Research Tips for Graduate Students (in Korean) [https://www.slideshare.net/pelexus/ss-11919783]

• LaTeX Tutorials in Overleaf [https://www.overleaf.com/learn/latex/Tutorials]

• Mendeley [https://www.mendeley.com/]

• Anaconda [https://www.anaconda.com/]

• PyTorch Basics [https://pytorch.org/tutorials/beginner/basics/intro.html]

• LeetCode Problems [https://leetcode.com/]