Deep-Learning-Computer-Vision and cs231n-convolutional-neural-networks-solutions

Both tools provide assignment solutions for the CS231n course, making them competitors.

Deep-Learning-Computer-Vision
40
Emerging
cs231n-convolutional-neural-networks-solutions
39
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 22/25
Stars: 134
Forks: 47
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 113
Forks: 53
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 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.

deep-learning computer-vision neural-networks image-recognition machine-learning-education

About cs231n-convolutional-neural-networks-solutions

madalinabuzau/cs231n-convolutional-neural-networks-solutions

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

This provides completed assignments for the Stanford CS231n course on visual recognition, helping students learn to build and train convolutional neural networks. You get structured problem sets and their solutions, which demonstrate how to implement deep learning models using TensorFlow and PyTorch. This is ideal for students or self-learners taking the CS231n course or similar deep learning programs.

deep-learning-education computer-vision-training neural-networks-practice academic-assignments machine-learning-study

Related comparisons

Deep-Learning-Computer-Vision and stanford-cs231 Deep-Learning-Computer-Vision and CS231n-2017 Deep-Learning-Computer-Vision and CS231n Deep-Learning-Computer-Vision and computer-vision Deep-Learning-Computer-Vision and CS231 Deep-Learning-Computer-Vision and cs231n

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