Machine Learning II

Course Purpose
Students learn the foundation of the generative AI based on neural networks that students learned at Machine Learning I.
Learning Goals
Students obtain the concepts of the deep learning that is the basis of the generative AI.
Topic
Session 1A review of the basics of neural networks
Session 2Stochastic gradient descent
Session 3Residual connectivity and activation normalization
Session 4RNN
Session 5Word embedding
Session 6Transformer
Sesson 7Reinforcement learning
Session 8Language generation I
Session 9Language generation II
Session 10VAE - Image generation -
Session 11Diffusion model - Image generation -
Session 12GAN - Image generation -
session 13Sensitive data and diverse learning frameworks
Session 14Differentiable arithmetic mechanism
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊