from keras.models import Sequential

from keras.layers import Dense, Dropout

model = Sequential()

model.add(Dense(8, activation='relu', input_dim=10))

model.add(Dropout(0.5))

model.add(Dense(1, activation='sigmoid'))

model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['accuracy'])

model.summary()