CS231 and stanford-cs231n-assignments-2020

These are competitors—both are independent solution repositories for the same Stanford CS231n course assignments, offering alternative implementations to accomplish identical learning objectives.

CS231
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Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 23/25
Stars: 386
Forks: 152
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 178
Forks: 68
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 CS231

MahanFathi/CS231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

This project contains completed solutions to programming assignments from the CS231n course on Convolutional Neural Networks. It takes theoretical concepts of deep learning for visual recognition and demonstrates their practical implementation. This is designed for students learning about deep learning and computer vision who want to check their understanding or see working examples.

deep-learning-education computer-vision-training neural-network-assignments machine-learning-student image-recognition-study

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

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