Gradient

Results: 3125



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1EJCIM 2018 Géométrie Numérique (partie 2) Gradient Conjugué Plan • Introduction

EJCIM 2018 Géométrie Numérique (partie 2) Gradient Conjugué Plan • Introduction

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Source URL: ejcim2018.sciencesconf.org

Language: French - Date: 2018-04-03 08:32:09
    2Dynamical, Symplectic and Stochastic Perspectives on Gradient-Based Optimization Michael I. Jordan University of California, Berkeley March 3, 2018

    Dynamical, Symplectic and Stochastic Perspectives on Gradient-Based Optimization Michael I. Jordan University of California, Berkeley March 3, 2018

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    Source URL: eta.impa.br

    Language: English - Date: 2018-07-28 17:09:47
    3Hybrid Approximate Gradient and Stochastic Descent for Falsification of Nonlinear Systems Shakiba Yaghoubi and Georgios Fainekos Abstract— Studying transient properties of nonlinear systems is an important problem for

    Hybrid Approximate Gradient and Stochastic Descent for Falsification of Nonlinear Systems Shakiba Yaghoubi and Georgios Fainekos Abstract— Studying transient properties of nonlinear systems is an important problem for

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    Source URL: www.public.asu.edu

    Language: English - Date: 2018-02-08 16:28:22
    4Orange gradient line_CMYK

    Orange gradient line_CMYK

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    Source URL: www.run.edu.au

    Language: English - Date: 2018-04-29 03:18:25
      5Introduction to AD Conjugate Gradient Algorithm Algorithmic Differentiation References  Python Algorithmic Differentiation of Large

      Introduction to AD Conjugate Gradient Algorithm Algorithmic Differentiation References Python Algorithmic Differentiation of Large

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      Source URL: fperez.org

      Language: English - Date: 2011-03-28 19:08:09
        6A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER  The fundamental tool for training deep neural networks is Stochastic Gradient

        A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER The fundamental tool for training deep neural networks is Stochastic Gradient

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        Source URL: cmx.caltech.edu

        Language: English - Date: 2017-08-28 13:59:57
          7SPARC-RFJune 23, 2010 Technological aspects of construction molybdenum high gradient X-band standing wave accelerating structures S. Bini¹, P. Chimenti¹, R.Di Raddo¹, V. Dolgashev2, A. Haase2, Y. Higashi 3, Lo

          SPARC-RFJune 23, 2010 Technological aspects of construction molybdenum high gradient X-band standing wave accelerating structures S. Bini¹, P. Chimenti¹, R.Di Raddo¹, V. Dolgashev2, A. Haase2, Y. Higashi 3, Lo

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          Source URL: www.lnf.infn.it

          Language: English - Date: 2010-07-15 04:06:05
            8Math. Program., Ser. B:125–161 DOIs10107FULL LENGTH PAPER Gradient methods for minimizing composite functions Yu. Nesterov

            Math. Program., Ser. B:125–161 DOIs10107FULL LENGTH PAPER Gradient methods for minimizing composite functions Yu. Nesterov

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            Source URL: premolab.ru

            Language: English - Date: 2015-10-31 16:49:24
              9Journal of Machine Learning Research ()  Submitted ; Published The Knowledge Gradient Policy Using A Sparse Additive Belief Model

              Journal of Machine Learning Research () Submitted ; Published The Knowledge Gradient Policy Using A Sparse Additive Belief Model

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              Source URL: optimallearning.princeton.edu

              Language: English - Date: 2014-12-10 22:04:35
                10ESET_Logo_HorizontalClaim-Gradient-RGB

                ESET_Logo_HorizontalClaim-Gradient-RGB

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                Source URL: www.zol.co.zw

                Language: English - Date: 2018-07-11 10:21:36