CS231n: Convolutional Neural Networks for Visual Recognition - Assignment Solutions

This repository contains my solutions to the assignments of the CS231n course offered by Stanford University (Spring 2020).

Find course notes and assignments here and be sure to check out the video lectures for Spring 2017!

I have also created a list of short notes myself. Feel free check it out! Link

Assignments using PyTorch are completed, those using Tensorflow will be implemented in the future.

Assignment 1:

• Q1: k-Nearest Neighbor classifier. (Done)
• Q2: Training a Support Vector Machine. (Done)
• Q3: Implement a Softmax classifier. (Done)
• Q4: Two-Layer Neural Network. (Done)
• Q5: Higher Level Representations: Image Features. (Done)

Assignment 2:

• Q1: Fully-connected Neural Network. (Done)
• Q2: Batch Normalization. (Done)
• Q3: Dropout. (Done)
• Q4: Convolutional Networks. (Done)
• Q5: PyTorch / TensorFlow on CIFAR-10. (Done)

Assignment 3:

• Coming soon