Like most neural networks, the one the researchers used is arranged into layers of
simple processing nodes, each of which is connected to several nodes in the layers above and below.
Not exact matches
A typical neural network consists of thousands of
processing «
nodes» capable of only
simple computations but densely connected to each other.
Typically, they're arranged into layers, and each layer consists of many
simple processing units —
nodes — each of which is connected to several
nodes in the layers above and below.
Neural networks are composed of
processing nodes that, like individual neurons, are capable of only very
simple computations but are connected to each other in dense networks.
A neural network consists of very
simple processing units, arranged into layers, that are densely connected to the
processing units — or
nodes — in the layers above and below.
Setting up a masternode is a relatively
simple process, and people are starting to leverage these
nodes in creative ways.