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Keras Leaky ReLU Layer

Analytics Integrations Deep Learning Keras Layers
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A leaky ReLU is a rectified linear unit (ReLU) with a slope in the negative part of its input space. The motivation for leaky ReLUs is that vanilla ReLUs have a gradient of zero in the negative part of their input space which can harm learning. Corresponds to the Keras Leaky ReLU 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 Leaky ReLU layer.
Output ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network with an added Leaky ReLU layer.

Extension

The Keras Leaky ReLU Layer node is part of this extension:

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