Deep Learning

Here, I compare how autoencoders and variational autoencoders (VAE)s fare when compared to baseline JPEG compression.

Here I discuss how I covered creating program content, revising manuscripts, and listening to my students throughout their learning processing

This course is a collection of important topics in Machine Learning. Some topics include Graph Theory, Recurrent Neural Networks, and Message Passing Networks.

From content creation to the final projects, here I discuss how teaching deep learning at the college level helped me become a better instructor.