Explores style transfer, image translation, self-supervised learning, video prediction, and image description generation using deep learning techniques.
Covers a review of machine learning concepts, including supervised learning, classification vs regression, linear models, kernel functions, support vector machines, dimensionality reduction, deep generative models, and cross-validation.
