I am working on #deeplearning currently I am trying to improve my algorithm and make it more close to state of the art.
Is there any list that categories #supervised and #unsupervised layers in a deep neural network?
I already know about #cnn, #deep_belief and #autoencoders and my current algorithm based on these techniques so I am looking for any newest technique.
I am working on image datasets only.
Thanks in advance :-)