ex.py

model = Sequential()
model.add(Dense(5, input_shape = (10,)))
model.add(Dense(1))
model.add(Activation('sigmoid'))

model.compile(loss='binary_crossentropy',
              optimizer= 'sgd',
              metrics=['binary_accuracy', 'fmeasure', 'precision', 'recall'])

history = model.fit(X_train, Y_train,
                    nb_epoch=nb_epoch, batch_size=batch_size,
                    verbose=1, validation_split=0.1)