There are 36 nodes that can be used as successor for a node with an output port of type Python-compatible Deep Learning Network.
Simple RNN layer.
Simple RNN layer.
Allows custom editing of a (Python compatible) deep learning network in a local Python installation.
Allows custom execution of a (Python compatible) deep learning network in a local Python installation.
Allows custom training and fine-tuning/transfer learning of a (Python compatible) deep learning network in a local Python installation.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
Executes a deep learning network.
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.
Merges two or more branches with arbitrary models which were initially created by an IF or CASE Switch Node.
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