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# Generalized Pooling Functions: mixed and gated pooling in CNN
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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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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. My work was used to satisfy the coursework final project for the research course Machine Learning Practial in University of Edinburgh.
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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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Experiment results again show the advantages obtained from these innovate pooling functions (mixed and gated) in CNN-like architectures in object recognition.
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### Empirical Results
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<img src=https://raw.githubusercontent.com/celisun/Generalized-Pooling-Functions-Mixed-and-Gated-in-Convolutional-Neural-Networks/master/table-comparison.png width="650">
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### Mixed / Gated Operation
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<img src=https://raw.githubusercontent.com/celisun/Generalized-Pooling-Functions-Mixed-and-Gated-in-Convolutional-Neural-Networks/master/graph.png width="650">
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