Python - numpy only.
88% on MNIST fashion.
I know my maths 😤

Pytorch assignments from Deep Learning for Computer Vision.
Topics: CNNs, object detection, image captioning.
Datasets: CIFAR-10, VOC2007, COCO.

Brunel University London.
First class honours.
Awarded the Institute of Applied Mathematics award.

Topics include transformers, GANs, self-supervised learning.
My lecture notes.
University of Michigan EECS498/598 online material.

Topics include matrix decompositions, probability & distributions, continuous optimisation.
My lecture notes.
Textbook (Deisenroth, Faisal, Ong, 2022).

Topics include debiasing, liquid time-constant networks, RL.
My lecture notes.
MITs Introduction to Deep Learning online material.