There are 108 nodes that can be used as successor for a node with an output port of type Keras Deep Learning Network.
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.
An global average pooling 2D layer.
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