Deep Learning and Computer Vision
I am teaching the undergraduate level course “Deep Learning and Computer Vision” this 2021 Fall semester, together with Prof. Xinggang Wang (https://xinggangw.info), below are the assignments/mini-projects aiming to improve your theoretical understanding and practical (coding) skills.
- mini-project 1: training a linear model with gradient descent, see description here
- mini-project 2: training a single-hidden-layer neural network model, see description here
- mini-project 3: training a convolutional neural network, see description here
- mini-project 4: build your own MNIST-GAN, see description here
Random Matrix Theory and Its Application in Large-Scale Systems
I am teaching the graduate (and Ph.D.!) level source “Random Matrix Theory and Its Application in Large-Scale Systems” this 2022 Spring semester, together with Prof. Tiebin Min and Prof. Caiming Qiu, see a few introductory slides here and course final project here.