Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
In this repo you can find my solutions for the CS231n course offered by Stanford on visual recognition. I thought it might be helpful for other fellow students to share them here.
The solutions are for both courses:
The Spring 2017 solutions use both deep learning frameworks: TensorFlow and PyTorch.
You can find the course notes here.
Here you can find the lecture videos for the CS231n Winter 2016 course:
And here are the lectures for the 2017 course:
You can download the original assignments, without the solutions, here:
A big thank you to Andrej Karpathy, Justin Johnson, Serena Yeung and Fei-Fei Li for creating this amazing course. It blows my mind that we live in a time where everyone has free access to courses from one of the best universities in the world. Many thanks also to Clement Thorey for sharing his solutions as well. They have been very helpful in certain stages of the assignments.