CS231n: Deep Learning for Computer Vision

My solutions for the assignments of CS231n offered by Stanford University (Spring 2020)

CS231n home

Found course notes and assignments here

Lectures for the course here

Assignment1

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

Assignment2

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

Assignment3

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