This repository contains projects from Stanford's CS231n course. The course is a deep-dive into neural networks for image recognition. Machine learning algorithms were developed in Python using numpy and matplotlib for visualization.

Each subdirectory contains an assignment for the course:

• assignment1 - kNN, SVM, Softmax, two layer network.
• assignment2 - Fully-connected Neural Networks, Batch Normalization, Dropout, Convolution Neural Networks on CIFAR-10 data.