다음은 모델을 훈련시킨 결과입니다.
Model: "sequential_5"
________________________________________________________________
Layer (type) Output Shape Param #
================================================================
embedding_5 (Embedding) (None, 400, 50) 250000
________________________________________________________________
dropout_10 (Dropout) (None, 400, 50) 0
________________________________________________________________
conv1d_5 (Conv1D) (None, 398, 250) 37750
________________________________________________________________
global_max_pooling1d_5 (Glob (None, 250) 0
________________________________________________________________
dense_10 (Dense) (None, 250) 62750
________________________________________________________________
dropout_11 (Dropout) (None, 250) 0
________________________________________________________________
activation_10 (Activation) (None, 250) 0
________________________________________________________________
dense_11 (Dense) (None, 1) 251
________________________________________________________________
activation_11 (Activation) (None, 1) 0
================================================================
Total params: 350,751
Trainable params: 350,751
Non-trainable params: 0
________________________________________________________________