model = Sequential()
model.add(LSTM(40, input_shape=(49, 3), dropout_U=0.1, dropout_W=0.1))

model.add(Dense(100, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='sgd', metrics=['accuracy', 'precision', 'recall'])
print(model.summary())