HeXA_Advanced_AI_Study

HeXA Advanced AI Study

Andrew Ng Machine Learning Lectures

Syllabus

Settings

1. Installation(Anaconda, Virtual Envrionment, Pytorch)
2. Jupyter notebook

Basics

1. Linear Regression
2. Gradient Descent
3. Logistic Regression
4. Convolutional Neural Network(with traditional filter)

Deep Learning

1. Fully Connected Neural Network
2. Pytorch MNIST Example
3. CNN MNIST
4. Style Transfer