An SGD algorithm churns through lots of labeled data to adjust the network’s parameters and reduce the errors ... They designed what they called a graph hypernetwork (GHN) to find the best deep neural ...

How can we characterize the dynamics of neural networks ... Hopfield's work inspired a new generation of recurrent network models; one early example was a learning algorithm that could ...