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Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON

Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON - PDF document

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Uploaded On 2014-10-20

Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON - PPT Presentation

Our gen erative model is an node multilayer network that has degree at most for some 947 and each edge has a random edge weight in 1 Our algorithm learns almost all networks in this class with polynomial running time The sample complexity is quadra ID: 6630

Our gen erative model

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