Fluctuating accuracy of Autoencoder I am working on an Autoencoder in keras with the following setting: 185-86-32-2-32-86-185. The problem is that its accuracy is fluctuating. Also, it is giving a new accuracy at every run.
If this is due to the random uniform kernel initialization, how can I save the output values of the initializes in order to use them later?
My code:
Accuracy makes no sense for an autoencoder, because you're essentially doing regression (from X to X), you should use a different metric instead, like MSE, MAE, RMSE.