There are 38 nodes that can be used as successor
for a node with an output port of type Python-compatible Deep Learning Network.
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.
Model (or generic port) CASE Switch to alter active branch for arbitrary port types..