'Deep neural network' diaporamas de présentation

Deep neural network - PowerPoint PPT Presentation

Being Deep & Being Dynamic New-Generation Models & Methodology for Advancing Speech Technology

Being Deep & Being Dynamic New-Generation Models & Methodology for Advancing Speech Technology

Being Deep & Being Dynamic New-Generation Models & Methodology for Advancing Speech Technology. Li Deng Microsoft Research, Redmond, USA Keynote at Odyssey Speaker/Language Recognition Workshop Singapore, June. 26, 2012 (including joint work with colleagues at MSR, U of Toronto, etc.) .

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790 views • 61 slides
Visual Computing: The Road Ahead, NVIDIA CEO Jen-Hsun Huang at CES 2015

Visual Computing: The Road Ahead, NVIDIA CEO Jen-Hsun Huang at CES 2015

Huang covers the progression of the first superchip, the most advanced GPU ever built, and the world's first teraflops mobile processor.

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564 views • 47 slides
Unrolling: A principled method to develop deep neural networks

Unrolling: A principled method to develop deep neural networks

Unrolling: A principled method to develop deep neural networks. Chris Metzler, Ali Mousavi, Richard Baraniuk Rice University. Solving Imaging Inverse Problems. Traditional Methods (e.g., ADMM). Deep Neural Networks (DNNs). Blackbox methods which learn complex functions

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535 views • 40 slides
Planning of Education Digital Transformation Powered by the EA Methodology

Planning of Education Digital Transformation Powered by the EA Methodology

Planning of Education Digital Transformation Powered by the EA Methodology. Yao Le CIO Times A Next-generation IT Industry Promotion Alliance in China. Contents. 1. Transformation Nurtured by New Technologies. 2. Importance of the EA Methodology. 3.

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272 views • 26 slides
A cloud-based mobile human fall forecasting system using recurrent neural networks

A cloud-based mobile human fall forecasting system using recurrent neural networks

A cloud-based mobile human fall forecasting system using recurrent neural networks. Mehrgan Khoshpasand CS4997 July 27 2018 Supervisor: Alireza Manashty. Content. Introduction Related works Neural network Proposed System Results Conclusion and Future works. Introduction.

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235 views • 23 slides

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