🥑

CS231n

팀 주제

CNN

팀원

아보카도 CNN 소개

”CNN SEED is all AND END all.” 아보카도 씨만큼 단단한 CNN은 중요하다.

작성자

강다은(따쯔) | 중앙대 공공인재학부

김정국(Uni) | 고려대 통계학과

이기은(끼니) | 서울대 언론정보학과

참고 강의

Stanford University CS231n

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Lecture 1 gives an introduction to the field of computer vision, discussing its history and key challenges. We emphasize that computer vision encompasses a w...

https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv

아보카도 CNN Wikipedia

Lecture 01 | Introduction to CNN for Visual Recognition

Lecture 02 | Image Classification

Image Classification

Nearest Neighbor

K-Nearest Neighbors(KNN)

L1 거리 (맨해튼 거리)

L2 거리 (유클리디언 거리)

Lecture 03 | Loss Functions and Optimization

Lecture 04 | Introduction to Neural Networks

Computational Graph

Backpropagation (역전파)

Lecture 05 | Convolutional Neural Networks

Neural Networks의 역사

Convolutional Neural Networks의 역사

ConvNet의 작동원리

Lecture 06 | Training Neural Networks I

Activation Functions

Data Preprocessing

Weight Initialization

Batch Normalization

Babysitting the Learning Process

Hyperparameter Optimization

Lecture 07 | Training Neural Networks II

Optimization (최적화)

Regularization (정규화)

Transfer Learning

기타 문서

Multiclass SVM Loss

Gradient Descent