Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON EDU Princeton University Computer Science Department and Center for Computational Intractability Princeton USA - PDF document

Download presentation
Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON EDU Princeton University Computer Science Department and Center for Computational Intractability Princeton  USA
Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON EDU Princeton University Computer Science Department and Center for Computational Intractability Princeton  USA

Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON EDU Princeton University Computer Science Department and Center for Computational Intractability Princeton USA - Description


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 Download Pdf

Tags

Our gen erative model

Embed / Share - Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON EDU Princeton University Computer Science Department and Center for Computational Intractability Princeton USA


Presentation on theme: "Provable Bounds for Learning Some Deep Representations Sanjeev Arora ARORA CS PRINCETON EDU Princeton University Computer Science Department and Center for Computational Intractability Princeton USA "— Presentation transcript


Shom More....
By: faustina-dinatale
Views: 205
Type: Public

Download Section

Please download the presentation after appearing the download area.


Download Pdf - The PPT/PDF document "Provable Bounds for Learning Some Deep R..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Try DocSlides online tool for compressing your PDF Files Try Now

Related Documents