There are 51 nodes that can be used as successor
for a node with an output port of type DL4J Model.
Simple RNN layer.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
Learner for Feedforward Deep Learning Models.
Writing of Deep Learning Models.
Writes Deep Learning model port objects to a file.
Convolutional layer.
Local Response Normalization layer.
Pooling layer.
Restricted Boltzmann Machine layer.