CS231n: Convolutional Neural Networks for Visual Recognition - Assignment Solutions 2020

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" course (Spring 2020). I used Pytorch in the necesary tasks in assignment 2 and assignment 3.

Assignment 1

• k-Nearest Neighbor classifier
• Training a Support Vector Machine
• Implement a Softmax classifier
• Two-Layer Neural Network
• Higher Level Representations: Image Features

Assignment 2

• Fully-connected Neural Network
• Batch Normalization
• Dropout
• Convolutional Networks
• PyTorch / TensorFlow on CIFAR-10

Assignment 3

• Image Captioning with Vanilla RNNs
• Image Captioning with LSTMs
• Network Visualization: Saliency maps, Class Visualization, and Fooling Images
• Style Transfer
• Generative Adversarial Networks