Studylog MLDL

TransE : Translating Embeddings for Modeling Multi-relational Data

DQN : Deep Q-Learning

[NLP] Text Classification

ML4VIZ : 시각화를 위한 머신러닝 연구 동향

VIZ4ML : 머신러닝을 위한 시각화 연구 동향

선형 분류 모형 (Linear Classification)

Shrinkage Method & Regularization

의사 결정 나무 (Decision Tree)

회귀 분석 (Regression)

가능도(Likelihood)와 최대 가능도 추정(Maximum Likelihood Estimation)

[cs231n] 10. Recurrent Neural Network

[cs231n] 7. Training Neural Networks Part 2

[cs231n] 6. Training Neural Networks Part 1

[cs231n] 5. Convolutional Neural Networks

[cs231n] 4. Introduction to Neural Networks

[cs231n] Lecture 3 : Loss Functions and Optimization

[cs231n] Lecture 2 : Image Classification