Node Connectivity
There are 47 nodes that can be used as successor
for a node with an output port of type 
DL4J Model.
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.
DL4J Feedforward Predictor (legacy) Deprecated
Predictor for Feedforward Deep Learning Models.
Run R Model in Microsoft SQL Server
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.