There are 44 nodes that can be used as successor for a node with an output port of type Image.
An image view node.
Loop end node for learning an ensemble model with boosting
Collects and combines all models provided during the loop iterations.
Converts a model input into a single table cell.
2D Convolutional Long-Short Term Memory (LSTM) layer.
2D Convolutional Long-Short Term Memory (LSTM) layer.
Fast GRU implementation backed by CuDNN.
Fast GRU implementation backed by CuDNN.
Fast LSTM implementation backed by CuDNN.
Fast LSTM implementation backed by CuDNN.
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