how to find classification accuracy in autoencoders? how can we find the accuracy autoencoders for classification of images? because we will get the reconstruction of the image and when we will plug in the test data it will spit out the image but how would we able to calculate the accuracy? or we should take difference between the prediction and input of the image .﻿
Are you using the autoencoder for classification or reconstruction?
if you are pre-training the autoencoder for classification then you use the usual logloss to determine the accuracy of your classifier. If on the otherhand, if you are using the autoencoder for reconstruction, then there is no classification, and you can use something like KL divergence (described in detail here) to measure and track your reconstruction and compression performance.