This plot accuray and loss from history of training keras model

plot_history_keras_training.py

# batch_size = 1024
# num_epochs = 20
# history = model.fit(X_train, train_labels,
#                     batch_size=batch_size,
#                     epochs=num_epochs, 
#                     validation_data=(X_val, val_labels))

# summarize history for accuracy
plt.plot(history.history['acc'])
plt.plot(history.history['val_acc'])
plt.title('model accuracy')
plt.ylabel('accuracy')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()
# summarize history for loss
plt.plot(history.history['loss'])
plt.plot(history.history['val_loss'])
plt.title('model loss')
plt.ylabel('loss')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()