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 ...

6 They write lines of code in an algorithm such that there are nodes ... In the case of supervised ANNs, researchers train the neural network by feeding in data with known values or features.

In these cases, it can make more sense to create a neural network and train ... the walls at all. It’s a great example of machine learning and the use of genetic algorithms to improve fitness ...

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 ...