Node Connectivity
There are 48 nodes that can be used as successor
for a node with an output port of type 
DL4J Model.
Pooling Layer (legacy)
Pooling layer.
RBM Layer (legacy) Deprecated
Restricted Boltzmann Machine layer.
AutoEncoder Layer (legacy)
Denoising AutoEncoder Layer
Dense Layer (legacy)
Fully connected layer.
DL4J Feedforward Learner (Classification) (legacy)
Learner for Feedforward Deep Learning Models.
DL4J Feedforward Learner (Regression) (legacy)
Regression Learner for Feedforward Deep Learning Models.
DL4J Feedforward Learner (Pretraining) (legacy)
Learner for Feedforward Deep Learning Models.
DL4J Feedforward Predictor (Classification) (legacy)
Predictor for Feedforward Deep Learning Models.
DL4J Feedforward Predictor (Layer) (legacy)
Predictor for Feedforward Deep Learning Models.
DL4J Feedforward Predictor (Regression) (legacy)
Predictor for Feedforward Deep Learning Models.