There are 86 nodes that can be used as predessesor for a node with an input port of type Python-compatible Deep Learning Network.
An exponential linear unit layer.
A leaky rectified linear unit layer.
A parametric rectified linear unit layer.
A parametric rectified linear unit layer.
A softmax layer.
A thresholded rectified linear unit layer.
A convolution 1D layer.
A convolution 1D layer.
A convolution 2D layer.
A convolution 2D layer.
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