Solutions for Stanford CS231n Assignments (2021Spring)

This repository contains my solutions for the assignments of CS231n course(2021 Spring) of Stanford university.

• 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: Multi-Layer Fully Connected Neural Networks
  • Q2: Batch Normalization
  • Q3: Dropout
  • Q4: Convolutional Neural Networks
  • Q5: PyTorch/TensorFlow on CIFAR-10 (For Q5, I implemented Pytorch.ipynb.)

• Assignment 3

  • Q1: Image Captioning with Vanilla RNNs
  • Q2: Image Captioning with Transformers
  • Q3: Network Visualization: Saliency Maps, Class Visualization, and Fooling Images
  • Q4: Generative Adversarial Networks
  • Q5: Self-Supervised Learning for Image Classification
  • Extra Credit: Image Captioning with LSTMs