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# Generalized Pooling Functions: mixed and gated pooling in CNN
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My experiments here are based on the work done by Chen Lee, P.W.Gallagher, Z.Tu in their “Gneralizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated and Tree”, 2015.
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Experiments are implementing and are based on Chen Lee, P.W.Gallagher, Z.Tu, Gneralizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated and Tree, 2015. This work was used to satisfy the coursework final project for the research course Machine Learning Practial in University of Edinburgh
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My work is to further discuss the benefits and potential of these two generalized pooling functions mixed and gated pooilng under CNN-like architectures in object recognition.
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Experiment results again show the advantages obtained from these innovate pooling functions (mixed and gated) in CNN-like architectures in object recognition. Scripts show part of my implementation
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