공식 홈페이지와 StackOverflow 등에서 자주 보이는 질문과 답변을 번역하고 있습니다.
다음 링크에서 원문을 함께 찾아보실 수 있습니다.
질문
- 케라스(Keras)의
model.summary()
처럼 모델의 개요(구조)를 보여주는 메소드는 없나요?Model Summary: ____________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ==================================================================================================== input_1 (InputLayer) (None, 1, 15, 27) 0 ____________________________________________________________________________________________________ convolution2d_1 (Convolution2D) (None, 8, 15, 27) 872 input_1[0][0] ____________________________________________________________________________________________________ maxpooling2d_1 (MaxPooling2D) (None, 8, 7, 27) 0 convolution2d_1[0][0] ____________________________________________________________________________________________________ flatten_1 (Flatten) (None, 1512) 0 maxpooling2d_1[0][0] ____________________________________________________________________________________________________ dense_1 (Dense) (None, 1) 1513 flatten_1[0][0] ==================================================================================================== Total params: 2,385 Trainable params: 2,385 Non-trainable params: 0