在keras中的预先训练的密集层之间添加dropout层

from keras.models import Sequential
from keras.layers import Dense, Dropout

model = Sequential()

model.add(Dense(units=64, activation='relu', input_dim=input_dim))
model.add(Dense(units=128, activation='relu'))

model.add(Dropout(0.5))

model.add(Dense(units=256, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(units=10, activation='softmax'))

model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(X_train, y_train, epochs=10, batch_size=32)