A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens

6 Jun 2018Uday Singh SainiEvangelos E. Papalexakis

Despite their increasing popularity and success in a variety of supervised learning problems, deep neural networks are extremely hard to interpret and debug: Given and already trained Deep Neural Net, and a set of test inputs, how can we gain insight into how those inputs interact with different layers of the neural network? Furthermore, can we characterize a given deep neural network based on it's observed behavior on different inputs?.. (read more)

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