Semantic Segmentation이란? 기본적인 접근 방법은?
캐글에 있는 데이터셋을 간단하게 구글 Colab 에 불러와서 사용할 수 있는 방법입니다.
Activation Functions make the decision of whether or not to pass a signal to the next layer. They take in the weighted sum of inputs plus a bias as an input. They are usually applied…
Machine Learning, Deep Learning, Artificial Intelligence, Data Science.
Siri, Automatic Driving, AlphaGo, Machines composing Mozart-like pieces.
12시간 무료 GPU :D !
In supervised learning, the data has a supervisor (label) to help learn the mapping function. An input variable (x) and an output variable (y) are paired together and put into the ‘black box’ to produce Y=f(X).
1편에서 소개했던 두가지 방법을 합쳐놓은, 두 세계가 만난 순간… 너의 가능성은?