amanchadha/stanford-cs231n-assignments-2020
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
This collection of assignments helps you learn to build AI systems that can 'see' and interpret images, similar to how human brains process visual information. You'll work with images and develop models that can classify objects, understand visual styles, or even generate new images. This is ideal for students or engineers new to computer vision and deep learning who want to build foundational skills.
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Use this if you are studying computer vision and need practical, step-by-step assignments to solidify your understanding of how neural networks process images.
Not ideal if you're looking for a plug-and-play tool for immediate image processing tasks or if your primary focus is Natural Language Processing or Reinforcement Learning without a need for computer vision fundamentals.
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