Keras ELU Layer

Exponential linear units were introduced to alleviate the disadvantages of ReLU and LeakyReLU units, namely to push the mean activation closer to zero while still saturating to a negative value which increases robustness against noise if the unit is in an off state (i.e. the input is very negative). The formula is f(x) = alpha * (exp(x) - 1) for x < 0 and f(x) = x for x >= 0. For the exact details see the corresponding paper. Corresponds to the Keras ELU Layer.

Options

Name prefix

The name prefix of the layer. The prefix is complemented by an index suffix to obtain a unique layer name. If this option is unchecked, the name prefix is derived from the layer type.

Alpha

Scale for the negative factor of the exponential linear unit.

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Links

• KNIME Deep Learning Keras Integration

  www.knime.com/deeplearning/keras

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