CS231n-2017 and CS231n
These are **competitors** — both are independent solution repositories for the same CS231n course assignments, just from different years (2017 vs 2016), so users would choose one based on which course iteration they're following.
About CS231n-2017
Burton2000/CS231n-2017
Completed the CS231n 2017 spring assignments from Stanford university
This repository contains completed assignments from Stanford University's CS231n 2017 course on Convolutional Neural Networks for Visual Recognition. It provides practical solutions and code examples for deep learning tasks using Python, PyTorch, and TensorFlow. Aspiring machine learning engineers or students seeking to learn and practice deep learning concepts will find this useful.
About CS231n
zlpure/CS231n
My Solution to Assignments of CS231n in Winter2016
This project provides solutions to assignments from the CS231n course, focusing on implementing and debugging neural networks for visual recognition. It takes raw image datasets like CIFAR-10 and outputs trained models and insights into various machine learning algorithms. Students and aspiring machine learning engineers can use this to deepen their understanding of computer vision and neural network architectures.
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