Assertion: neural network's input | /r/HasProperty | continuous
Facets:
value: between 0
type: OTHER
value: between 1
type: OTHER
value: often
type: DEGREE
Source sentences:
text: While neural networks working with labeled data produce binary output, the input they receive is often continuous.
text: The main difference between a sigmoid neuron and a perceptron is that the input and the output can be any continuous value between 0 and 1.
text: Both the input and output can be either continuous or discrete as well as they can be either deterministic or fuzzy.