Hi @vdw, thanks for your reply.
Sorry for the lack of details that your ramarked me,
To be more clear:


About the loss: It doesn’t decrese, remains constant






Epoch:0
Patience: 0
Train_Loss: 0.00085809
Val_Loss: 0.00086563




Epoch:1
Patience: 0
Train_Loss: 0.00082885
Val_Loss: 0.00086676


Epoch:2
Patience: 0
Train_Loss: 0.00082884
Val_Loss: 0.00086649


Epoch:3
Patience: 0
Train_Loss: 0.00082886
Val_Loss: 0.00086577


Epoch:4
Patience: 0
Train_Loss: 0.00082882
Val_Loss: 0.00086545


Epoch:5
Patience: 0
Train_Loss: 0.00082893
Val_Loss: 0.00086574





To give more context:
I’m working with bio-signal in a steady state
I decided to use “repeat” thinking that the hole signal could be represented in the output of the encoder (a compressed representation of it). Then, the decoder, though the hiden_state and the last output of the decoder itself, could do the rest.
See below random example of reconstruction with Keras during training epochs (1,20,50,100 and 180 respectively). Its seems to be in order to me.
Anyway … thank you your links, I’ll check it and I’ll continue traying to obtain similar result.


1874×303 32 KB


20874×303 51 KB


50874×303 45.1 KB


100874×303 50.9 KB


180874×303 41.6 KB
 !