Assertion: neural network's output | /r/ObjectUse | used as input
Facets:
value: to the next layer
type: TRANSITIVE-OBJECT
value: to several other perceptrons
type: TRANSITIVE-OBJECT
value: to a new classification model
type: PURPOSE
value: to other neurons
type: TRANSITIVE-OBJECT
Source sentences:
text: And when I say connected, I mean that the output from one neuron is used as an input to other neurons.
text: The multiple output arrows are merely a useful way of indicating that the output from a perceptron is being used as the input to several other perceptrons.
text: One notable aspect of this network of perceptrons is that the output from the leftmost perceptron is used twice as input to the bottommost perceptron.
text: Up to now, we've been discussing neural networks where the output from one layer is used as input to the next layer.
text: The hidden layers can output their internal representations directly, and the output from one or more hidden layers from one very deep network can be used as input to a new classification model.
text: The intermediate outputs of one layer, called features, are used as the input into the next layer.