Hi Guys, recently i saw a post on the forum related LSTM auto encoder, and want to play with it to have some fun. I tried a few different architectures ( lstm, covn1d, conv2d ) to model timeseries and image restoration. I found two common problems discussed on this forum, also other place such as stack overflow, but never seem to be sorted out.
restored data is simply an average of the original input - a problem with my lstm and conv1d based AE;
loss not decreasing - however, for a covn2d image autoencoder, it does reproduce an image similar to original.
just wondering if your guys noticed that same, and what is your solution ?