There are 86 nodes that can be used as predessesor for a node with an input port of type Deep Learning Network.
A layer that subtracts two inputs.
An alpha dropout layer.
A gaussian dropout layer.
A gaussian noise layer.
A batch normalization layer.
A batch normalization layer.
An average pooling 1D layer.
An average pooling 2D layer.
An average pooling 3D layer.
An global average pooling 1D layer.
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