Thank you so much for this answer sir.
Please correct me if m wrong…what I am  getting here is
encoded is the bottleneck  or reduced representation of the input data,
out is reconstructed representation of the data right?
if yes then why to concatenate these two?
what is my actual question is I have two such models different preprocessing for both of them , I need to train both the models for this bottleneck features and finally concatenate them for final classification plz find the attached picture.forum1216×513 102 KB  Looking forward for your guidance