An underlying mechanism for successful deep learning (DL) with a limited...
We study bi-directional associative neural networks that, exposed to noi...
Deep architectures consist of tens or hundreds of convolutional layers (...
Learning classification tasks of (2^nx2^n) inputs typically consist of ≤...
Advanced deep learning architectures consist of tens of fully connected ...
Power-law scaling, a central concept in critical phenomena, is found to ...
The realization of complex classification tasks requires training of dee...
The gap between the huge volumes of data needed to train artificial neur...
In neural network's Literature, Hebbian learning traditionally refers
to...