Keras Softmax Layer

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 .

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.

External resources

• KNIME Deep Learning Keras Integration