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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

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