There are 86 nodes that can be used as predessesor for a node with an input port of type Python-compatible Deep Learning Network.
An global average pooling 2D layer.
A global max pooling 1D layer.
A global max pooling 2D layer.
A max pooling 1D layer.
A max pooling 2D layer.
A max pooling 3D layer.
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.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.