1. What is a Neural Network?
2023. 9. 5. 13:31ㆍGoogle ML Bootcamp/1. Neural Networks and Deep Learning
예시 : 집 값 예측
input : x
layer : unit
output : y(=price)
layer에 사용될 수 있는 function
- ex) ReLU(Rectified Linear Unit) x -> max(0,x)
x : house size, number of bedrooms, zip code, wealth etc..
layer : family size(=related with house size, number of bedrooms), school quality(=related with zip code, wealth)
y : price
'Google ML Bootcamp > 1. Neural Networks and Deep Learning' 카테고리의 다른 글
| 6. Logistic Regression Cost Function (0) | 2023.09.08 |
|---|---|
| 5. Logistic Regression (0) | 2023.09.08 |
| 4. Binary Classification (0) | 2023.09.08 |
| 3. Why is Deep Learning taking off? (0) | 2023.09.05 |
| 2. Supervised Learning with Neural Networks (0) | 2023.09.05 |