image classifier part 5

performance-visualization.py

#model performance visualization
f = plt.figure(figsize=(20,8))

#accuracy
plt1 = f.add_subplot(121)
plt1.plot(history.history['accuracy'], label = str('Training accuracy'))
plt1.plot(history.history['val_accuracy'], label = str('Validation accuracy'))
plt.legend()
plt.title('accuracy')

#loss
plt2 = f.add_subplot(122)
plt2.plot(history.history['loss'], label = str('Training loss'))
plt2.plot(history.history['val_loss'], label = str('Validation loss'))
plt.legend()
plt.title('loss')

plt.show()