CS231 and cs231n-convolutional-neural-networks-solutions
These two projects are competitors, as both offer complete assignment solutions for the CS231n course, implying a user would likely choose one set of solutions over the other to follow along with the curriculum.
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 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.
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