There are 83 nodes that can be used as predessesor
for a node with an input port of type Keras Deep Learning Network.
A transposed convolution 2D layer.
An upsampling 1D layer.
An upsampling 2D layer.
An upsampling 3D layer.
A zero-padding 1D layer.
A zero-padding 2D layer.
A zero-padding 3D layer.
Applies an activation function to an output.
An activity regularization layer.
A densely connected network layer.