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Keras Softmax Layer

Analytics Integrations Deep Learning Keras Layers
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The softmax function is commonly used as the last layer in a classification network. It transforms an unconstrained n-dimensional vector into a valid probability distribution. Note that the input to a softmax must have at least one dimension in addition to the batch dimension. Corresponds to the Keras Softmax Layer .

External resources

  • KNIME Deep Learning Keras Integration

Node details

Input ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network to which to add a Softmax layer.
Output ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network with an added Softmax layer.

Extension

The Keras Softmax Layer node is part of this extension:

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