Assertion: neural network's neuron | /r/HasProperty | connected
Facets:
value: in a complex spatial arrangement
type: OTHER
value: mutually
type: MANNER
value: fully
type: DEGREE
value: locally
type: LOCATION
Source sentences:
text: The problem with this function is for creating a binary classifier ( 1 or 0), but if you want multiple such neurons to be connected to bring in more classes, Class1, Class2, Class3, etc.
text: Neurons are connected to one another in a complex spatial arrangement.
text: Now, think about the use case where you would want multiple such neurons to be connected to bring in more classes.
text: Local connectivity is the concept of each neural connected only to a subset of the input image (unlike a neural network where all the neurons are fully connected)
text: Neurons are locally connected, forming small clusters that are called neural ensembles.
text: First, its network is composed of many artificial neurons that are mutually connected.
text: The problem with this function is for creating a binary classifier ( 1 or 0), but if you want multiple such neurons to be connected to bring in more classes, Class1, Class2, Class3, etc.
text: Neurons are connected to one another in a complex spatial arrangement.