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 .
- Type: Keras Deep Learning NetworkKeras NetworkThe Keras deep learning network to which to add a Softmax layer.