from keras.callbacks import EarlyStopping
model = Sequential([
Dense(32, activation='sigmoid'),
Dense(32, activation='sigmoid'),
Dense(1, activation='sigmoid')
])
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['acc'])
results = model.fit(X_train, y_train, batch_size=32, epochs=100, validation_data=(X_test,y_test),callbacks=[EarlyStopping()])