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Browsing by Subject "convolutional neural network, persistence, homology, Persistence diagrams, Toplogical Data Analysis, Auto-encoders, connectivity"

Browsing by Subject "convolutional neural network, persistence, homology, Persistence diagrams, Toplogical Data Analysis, Auto-encoders, connectivity"

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  • Kasliwal, Pankhuri; Anand, Saket (Advisor) (IIIT-Delhi, 2019-11-16)
    Convolutional Neural Networks are trained using a gradient descent back propagation technique which trains weights in each layer for the sole goal of minimizing training error. Hence, the resulting weights cannot be ...

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