영상처리를 연구하는데에 있어서 기본적으로 알아야 할 이론들을 학습하기 위해 필수적으로 익혀야 할 이론들을 모았습니다.

Udacity의 Deep Learning Nanodegree 강사였던 Luis의 영상을 주로 가져왔습니다. 깔끔한 애니메이션과 명쾌한 설명이 돋보입니다.
개념이 헷갈리거나 처음 배울때, 아주 유용한 강의가 될 것입니다.

190220-luis-series3

pt1. Linear Regression

An introduction to linear regression that requires very little math (no calculus or linear algebra), only a visual mind.

pt2. Logistic Regression

An introduction to logistic regression and the perceptron algorithm that requires very little math (no calculus or linear algebra), only a visual mind.

pt3. SVM: Support Vector Machine

SVM: Maximize the margins.
An introduction to support vector machines (SVMs) that requires very little math (no calculus or linear algebra), only a visual mind.
This is the third of a series of three videos.

PCA: Principle Component Analysis

Principal Component Analysis (PCA) by Luis Serrano

A conceptual description of principal component analysis, including:
- variance and covariance
- eigenvectors and eigenvalues
- applications

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Lee is a Student, Programmer, Engineer, Designer and a DJ

Seoul, South Korea https://eungbean.github.io