Keras - Plot training, validation and test set accuracy

Question

I want to plot the output of this simple neural network:

model.compile(loss=\'binary_crossentropy\', optimizer=\'adam\', metrics=[\'accuracy\'])
history = m         


        

Answer 1

Validate the model on the test data as shown below and then plot the accuracy and loss

model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
history = model.fit(X_train, y_train, nb_epoch=10, validation_data=(X_test, y_test), shuffle=True)