Artificial Intelligence (AI)

Lecture 1. Part 1. Introduction to Machine Learning

Lecture 1. Part 2. Python for AI

Lecture 1. Part 3. Math Foundation for Machine Learning

Lecture 2. Part 1. Introduction to Deep Learning

Lecture 2. Part 2. Introduction to Recurrent Neural Networks (RNNs)

Lecture 3. Part 1. Convolutional Neural Networks (CNNs)

Lecture 3. Part 2. Deep Generative Modeling

Lab 0. Python Introduction Tutorial

Lab 1.1. Introduction to TensorFlow

Lab 1.2. Music Generation with Recurrent Neural Networks (RNNs) and TensorFlow

Lab 1.3. Introduction to PyTorch

Lab 1.4. Music Generation with Recurrent Neural Networks (RNNs) and PyTorch

Lab 2.1. Image Classification using Convolutional Neural Networks (CNNs) and TensorFlow

Lab 2.2. Facial Recognition with VAEs, Debiasing, and TensorFlow

Lab 2.3. Image Classification using Convolutional Neural Networks (CNNs) and PyTorch, Coming Soon