Assertion: neural network's input | /r/HasProperty | activation
Facets:
value: from the previous layer
type: OTHER
Source sentences:
text: l {\displaystyle l} proportionally to the inputs (activations): the inputs are fixed, the weights vary.
text: However, when we’re talking about the 2nd conv layer, the input is the activation map(s) that result from the first layer.
text: Every neuron has weighted inputs (synapses), an activation function (defines the output given an input), and one output.
text: The input to this layer will be the activations from the previous layer (l-1), and the output of this layer will be its own activations.