stanford-cs231 and deep-learning-notes
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 deep-learning-notes
albertpumarola/deep-learning-notes
My CS231n lecture notes
This collection of study notes helps you understand core concepts and advanced topics in deep learning. It condenses lectures from a top university course and key texts into a single, organized PDF or individual chapter PDFs. Anyone studying or working with artificial intelligence and machine learning will find this useful for learning or quick reference.
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