CS231n Assignments

Deep Learning for Computer Vision

Stanford - Spring 2025

中文 README | English README

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Resources

• Course Homepage
• Assignment Introduction
• mantasu's cs231n assignment solutions

Getting Started

The assignments are configured to run on Google Colab by default, but you can also run them locally.

$ uv venv --python 3.11
$ source .venv/bin/activate
$ python -m pip install -r requirements.txt

Status

Recommend order: Assignment 1 Q1-Q4，Assignment 2 Q1-Q2，Assignment 1 Q5

• Assignment 1
  • Q1: k-Nearest Neighbor classifier
  • Q2: Implement a Softmax classifier
  • Q3: Two-Layer Neural Network
  • Q4: Higher Level Representations: Image Features
  • Q5: Training a fully connected network
• Assignment 2
  • Q1: Batch Normalization
  • Q2: Dropout
  • Q3: Convolutional Neural Networks
  • Q4: PyTorch on CIFAR-10
  • Q5: Image Captioning with Vanilla RNNs
• Assignment 3
  • Q1: Image Captioning with Transformers
  • Q2: Self-Supervised Learning for Image Classification
  • Q3: Denoising Diffusion Probabilistic Models
  • Q4: CLIP and Dino