stanford-cs231 and stanford-cs231n-assignments-2020
About stanford-cs231
machinelearningnanodegree/stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
This project provides a curated set of resources to help you learn about Convolutional Neural Networks for visual recognition. It brings together course materials like lectures, assignments, and notes from Stanford's CS231n, along with supplementary blogs and articles. It's for students enrolled in Udacity's Machine Learning Engineer Nanodegree or anyone looking to deepen their understanding of how computers 'see' and interpret images.
About stanford-cs231n-assignments-2020
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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