CS231 and Deep-Learning-Computer-Vision
These are competitors, as both tools offer assignment solutions for the CS231n course.
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.
About Deep-Learning-Computer-Vision
seloufian/Deep-Learning-Computer-Vision
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
This project provides comprehensive assignment solutions for two leading university courses in deep learning and computer vision: Stanford's CS231n and Michigan's EECS 498-007/598-005. It takes theoretical concepts from lectures and applies them through practical implementations, using Python with NumPy, TensorFlow, and PyTorch. The solutions are designed for machine learning practitioners and researchers who want to deepen their understanding of computer vision algorithms.
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