CS231n

This repository contains my solutions [completed] to the assignments of the CS231n course. A big thank you to the faculty of the course at Stanford for making the resource materials available.

Lecture Videos
Lecture Notes

Assignment - 1

• K-Nearest Neighbours
• Support Vector Machines
• Softmax
• Two-Layer Neural Network (TODO: slight changes to calculation of deltas in backprop for softmax layer)
• Features

Assignment - 2

• Fully-connected Nets
• Batchnormalisation
• Dropout
• Convolutional Neural Network (TODO: Improve classification accuracy on CIFAR-10 above 65%)
• Implement parametric ReLU
• Analyse effect of Adam vs Adam+LR decay
• Different ConvNet Architectures (particularly: [conv - relu - conv - relu - pool]xM - [affine]xN - [softmax] (TODO: debug the batchnorm implementation of this architecture)

Assignment - 3

• Image captioning with vanilla RNNs
• Image captioning with LSTMs
• Image Gradients
• Image Generation