해당 내용들은 모두 Song KyungWoo - Youtube (딥러닝(2022s))채널을 참고하였습니다. 또한 해당 순서대로 강의가 진행되었음을 알립니다. 따라서 읽는 것을 추천드립니다. 미래의 독자 여러분 🙂

Linear Statistical Model

Logistic Regression

Decision Tree & Random Forest

Naïve Bayes

Generalization Error & Hoeffding Inequality

Dichotomy and Growth Function

Unbiased Estimator (불편 추정치)

Maximum Likelihood Estimation & Bayesian Statistics

SGD (Stochastic Gradient Descent) & The curse of Dimension

Linear Classifier

FeedForward Neural Networks (Learning XOR)

Output Units (Softmax)

Activation function

BackPropagation

RNN (Recurrent Neural Network)

RNN implementation

RNN Variants (변형)

LSTM

Application of NN and RNN