Machine Learning Research Program

Basic of Machine Learning

1. Python Practice
2. Convex Optimization for machine learning
3. Machine learning with Scikit-Learn & Practice

Introduction to Deep Learning

1. Deep Neural Network With Tensorflow
2. [Recurrent neural networks, Long Short-Term Memory]
3. Convolutional Neural Network & Convolutional Neural Network2
4. Generative Adversarial Network

Machine Learning Applications and Reinforcement Learning

1. Machine Learning for text mining
2. Machine Learning for data mining
3. Natural Language Processing and Machine Learninig
4. Reinforcement Learning & Reinforcement Learning 2

Recent Topic in Deep Learning based Computer Vision and Robustness

1. Computer Vision
2. Deep Anomaly Detection
3. Defect Detection
4. Image and Video Restoration : Deep Learning Approaches
5. Adversarial Roboustness

Recent Topics in Advanced Deep Learning

1. Meta Learning and Transfer / Multi-task learning & Meta Learning 2
2. Light Deep Learning
3. Bayesian Deep Learning & Bayesian Deep Learning2
4. Optimization and Regularization methods for deep neural networks
5. Uncertainty prediction, adversarial examples and explainable learning

Machine Learning Platform

1. Computer Architecture for Deep Learning
2. HBM and Machine Learning for Semiconductor Designs
3. Deep Learning Chips
4. Big Data Systems for Machine Learning