Assertion: neural network | /r/CapableOf | produce output
Facets:
value: for a given input
type: OTHER
value: in this way
type: MANNER
Source sentences:
text: A neural network can be designed to detect pattern in input data and produce an output free of noise.
text: Basically, each hidden layer contains same number of neurons and large number of hidden layers in neural network the longer it will take for the neural network produce the output and if any complex problems by using the hidden layers the neural networks can solve.
text: This process of a neural network generating an output for a given input is Forward Propagation.
text: Refer to the above image as you read – we pass 4 features as input to the neural network as x, it automatically identifies some hidden features from the input, and finally generates the output y.
text: In this way our neural network produces an output for any given input.
text: The hidden layer is the key component of a neural network because of the neurons it contains; they work together to do the major calculations and produce the output.