plt.figure(1)
plt.plot(history.history["loss"], "b", label="Mean Square Error of training")
plt.plot(history.history["val_loss"], "g", label="Mean Square Error of 
validation")
plt.legend()
plt.xlabel("Epoche")
plt.ylabel("Mean Square Error")
plt.xlim(0,200)
plt.show()
plt.savefig(r"C:\Users\aheidari\Dropbox\Dissertation\primary hot water use 
prediction\Diagrams\UnivariateTrainingerror.png", dpi=1200)
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