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.
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Use this if you are a student or self-learner who wants to study example solutions to classic computer vision deep learning problems.
Not ideal if you are looking for a ready-to-use application or a cutting-edge research implementation, as this is primarily educational material from a specific course.
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