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# summarize the result and plot the training and test loss
plt.plot(result.history['loss'])
plt.plot(result.history['val_loss'])
# Set the parameters
plt.title('Deep learning model loss')
plt.ylabel('Loss')
plt.xlabel('Epochs')
plt.legend(['train', 'test'], loc='upper right')
# Display the plots
plt.show()
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