Deep Learning for Computer Vision

This contains my complete notes from the course Deep Learning for Computer Vision (Stanford CS231n) I took in the spring semester of my sophomore year.

CV | Lecture 4 Neural Networks and Backpropagation

Neural Networks, Backpropagation

CV | Lecture 3 Regularization and Optimization

Regularization, SGD, RMSProp, Adam(W), Learning Rate, Second Order Optimization

CV | Lecture 2 Image Classification with Linear Classifiers

Data-driven approaches, Linear Classification

CV | Lecture 1 Introduction

History of CV, DL basics, tasks of CV