There are two main ways of creating a plot in matplotlib: the pyplot
MATLAB-style system and an object-oriented system. Although many
tutorials online use the MATLAB interface, it is usually a good idea to
use the object-oriented system.
I mention this here because after one calls `plt.plot()`,
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\aheida
On Sat, 17 Aug 2019 10:58:43 -0700 (PDT), Amirreza Heidari wrote:
> 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 [snip]
> plt.legend()
> plt.xlabel("Epoche")
> plt.ylabel("Mean Squ
