Assertion: neural network | /r/HasAspect | input
Facets:
value: similarly
type: DEGREE
value: with some randomness
type: OTHER
value: in a similar fashionable way
type: MANNER
value: with many hidden layers
type: OTHER
Source sentences:
text: Every neural network has an input and an output layer, with many hidden layers augmented to it based on the complexity of the problem.
text: Similarly, a neural network has inputs and outputs.
text: This neural network has one layer, three inputs, and one output.
text: This neural network has one layer, three inputs, and one output.
text: As a general rule: for a neural network it’s always positive to have an input with some randomness.
text: As a general rule: for a neural network it’s always positive to have an input with some randomness.
text: Similarly, a neural network has inputs and outputs.
text: The neural network will have inputs and outputs in a similar fashionable way.
text: The neural network will have inputs and outputs in a similar fashionable way.
text: This neural network has two layers, three inputs, and one output.
text: This neural network has two layers, three inputs, and one output.