Keras Embedding Layer

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 Note that the Keras documentation is outdated.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.

Input ports

1. Type: Keras Deep Learning Network
   Keras Network
   The Keras deep learning network to which to add an Embedding layer.

Output ports

1. Type: Keras Deep Learning Network
   Keras Network
   The Keras deep learning network with an added Embedding layer.

External resources

• KNIME Deep Learning Keras Integration