DeprecatedKNIME Deep Learning - Keras Integration version 3.7.2.v201904170930 by KNIME AG, Zurich, Switzerland
An embedding network layer. This layer receives a sequence of non-negative integer indices and learns to embed those into a high dimensional vector (the size of which is specified by output dimension). This layer can only be used as the first layer in a model (after the input layer). Corresponds to the Embedding Keras layer. Note that the Keras documentation is outdated. The input to this layer can be of arbitrary rank and the output of this layer will have to be a tensor with one additional dimension. The inputs to this layer i.e. the values fed in the learner or executor must be integers in the interval [0, n) where n is the specified input dimension.
To use this node in KNIME, install KNIME Deep Learning - Keras Integration from the following update site:
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 email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.