CS231n_Stanford

Assignment Solutions for the Stanford CS 231n course - Convolutional Neural Networks for Visual Recognition

Refer course notes and assignments here and the video lectures for Winter 2016 and Spring 2017!

Assignments are completed using PyTorch.

Assignment 1:

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

Assignment 2:

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