Assertion: neural network's layer | /r/CapableOf | take input
Facets:
value: for horizontal line
type: PURPOSE
value: for edge
type: PURPOSE
value: with a relu activation layer
type: OTHER
Source sentences:
text: Input layers: Layers that take inputs based on existing data
text: Each layer takes some input, transforms this input through interaction with its weights, and outputs the result, to be consumed by the first layer downstream.
text: We’ll put together a single dense hidden layer that takes in x as input with a ReLU activation layer.
text: Now, the hidden layer takes these inputs for the vertical line, horizontal line and edge and makes its own sorts of calculations.