Improving neural networks with bunches of neurons modeled by Kumaraswamy units: Preliminary study

11 May 2015Jakub Mikolaj Tomczak

Deep neural networks have recently achieved state-of-the-art results in many machine learning problems, e.g., speech recognition or object recognition. Hitherto, work on rectified linear units (ReLU) provides empirical and theoretical evidence on performance increase of neural networks comparing to typically used sigmoid activation function... (read more)

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