태그 목록
- 전체보기(7)
- AI(2)
- 기초(1)
- cn231n(1)
- gradient(1)
- DeppLearning(1)
- Backpropagation(1)
- Object Detection(1)
- instance(1)
- ObjectDetection(1)
- Regularization(1)
- overfitting(1)
- 자율주행(1)
- Chain Rule(1)
- 정확도(1)
- 분류문제(1)
- lossfunction(1)
- 과정(1)
- class(1)
- model(1)
- cs231n(1)
- SVMloss(1)
- FCLayer(1)
- feature(1)
- CAM(1)
- Convolutional Neural Networks(1)
- lecture3(1)
- pooling(1)
- Segmenation(1)
- semantic(1)
- 인공지능(1)
- layer(1)
- Exploding(1)
- Resnet(1)
- Activation(1)
- Vanishing(1)
전체보기 (7)AI(2)기초(1)cn231n(1)gradient(1)DeppLearning(1)Backpropagation(1)Object Detection(1)instance(1)ObjectDetection(1)Regularization(1)overfitting(1)자율주행(1)Chain Rule(1)정확도(1)분류문제(1)lossfunction(1)과정(1)class(1)model(1)cs231n(1)SVMloss(1)FCLayer(1)feature(1)CAM(1)Convolutional Neural Networks(1)lecture3(1)pooling(1)Segmenation(1)semantic(1)인공지능(1)layer(1)Exploding(1)Resnet(1)Activation(1)Vanishing(1)
Pooling과 FC layer
Pooling Layer란? filter size로는 2x2, 3x3이고 stride는 2로 하는 것을 많이 사용한다. (3x3보다 2x2가 조금 더 자주 사용된다.)FC Layer (Fully Connected Layer)란? “Fully conne
2022년 2월 4일
·
0개의 댓글·
0