stanford-cs231n-assignments-2020 and Stanford-CS231n-2021Spring-Assignments

These two tools are competitors, as both repositories provide independent sets of student solutions for assignments from different offerings (2020 vs. 2021 Spring) of the same Stanford CS231n course.

Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 23/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 15/25
Stars: 178
Forks: 68
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 7
Forks: 5
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About stanford-cs231n-assignments-2020

amanchadha/stanford-cs231n-assignments-2020

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

This collection of assignments helps you learn to build AI systems that can 'see' and interpret images, similar to how human brains process visual information. You'll work with images and develop models that can classify objects, understand visual styles, or even generate new images. This is ideal for students or engineers new to computer vision and deep learning who want to build foundational skills.

image classification neural network development style transfer generative AI deep learning education

About Stanford-CS231n-2021Spring-Assignments

hoyeonchang/Stanford-CS231n-2021Spring-Assignments

My solutions for the assignments of CS231n course(2021 Spring) of Stanford university

Scores updated daily from GitHub, PyPI, and npm data. How scores work