What is Machine Learning?

[Lab] Pytorch Introductory

Deep Learning Theory

Deep Learning Basics (Week 1)

Fundamental Concepts

From Linear Models to Multi-Layer Nonlinear Models

Building Intuitions in Neural Network

Fundamental Operators in Neural Networks (Move to Week 1)

Optimization and Neural Network Optimization (Week 2-3)

Numerical Optimization

Neural Network Optimization

Backpropagation

Gradient Descent Improvements

Understanding Gradient Problems in Neural Networks (Next Year Delete)

Loss Function (Week 4)

Loss Function - Basic Principles

Loss Function - Probabilistic Interpretations

Loss Function - Bayesian Estimation