머신러닝

1. Strong AI, Weak AI 2. 기존 프로그램 방식과의 비교 process ![](https://imagedelivery.net/v7-TZByhOiJbNM9Ra

1. Log 2. 미분 1. 수치미분 중앙차분 ![](https://velog.velcdn.com/images/wldnjswldnj

python 구현 ![](https://velog.velcdn.com/images/wldnjswldnjs/post/a0379f01-6542-4615-a

python 구현 ![](https://velog.velcdn.com/images/wldnjswldnjs/post/3fd8b68e-04bf-4b6d-a

tf.constant() : node안의 값 고정 ㄴ tf.placeholder() : node안의 값이 들어갈 빈 공간 ![](https:/

Logistic Regression Binary Classification sigmoid loss function ![](https

성능평가

1. Learning rate 2. Normalization 3. Overfitting ![](https://velog.velcdn.com/i

Multinomial linear regression 식 softmax

Tensorflow

KNN Logistic Regression - binary * multinomial classification Linear Regression