Assertion: neural network's input | /r/HasProperty | four-dimensional
Facets:
value: typically
type: DEGREE
value: for a 1d convolutional layer
type: TRANSITIVE-OBJECT
Source sentences:
text: The input to a Conv2D layer must be four-dimensional.
text: The input to Keras must be three dimensional for a 1D convolutional layer.
text: The input is typically three-dimensional images (e.g. rows, columns and channels), and in turn, the filters are also three-dimensional with the same number of channels and fewer rows and columns than the input image.