Deep learning

Results: 859



#Item
121

3D Deep Learning Tutorial@CVPR2017 Hao Su (UCSD) Leonidas Guibas (Stanford) Michael Bronstein (Università della Svizzera Italiana) Evangelos Kalogerakis (UMass)

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Source URL: 3ddl.stanford.edu

- Date: 2017-07-26 23:11:41
    122

    Introduction Lecture slides for Chapter 1 of Deep Learning www.deeplearningbook.org Ian Goodfellow

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    Source URL: www.deeplearningbook.org

    - Date: 2018-03-01 11:56:55
      123

      The LF Deep Learning Foundation Charter The Linux Foundation Effective March 26, Mission and Scope of the LF Deep Learning Foundation. a) The primary mission of the LF Deep Learning Foundation (the “Directed Fu

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      Source URL: www.linuxfoundation.org

      - Date: 2018-03-23 20:34:23
        124

        Monte Carlo Methods Lecture slides for Chapter 17 of Deep Learning www.deeplearningbook.org Ian Goodfellow Last updated

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        Source URL: www.deeplearningbook.org

        - Date: 2018-03-01 11:56:55
          125

          Deep Learning with Deep Water Wen Phan Magnus Stensmo

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          Source URL: docs.h2o.ai

          - Date: 2018-03-28 21:49:50
            126

            1 The Use of Deep Learning in Image Segmentation, Classification and Detection Mihai-Sorin Badea, Iulian-Ionuț Felea, Laura Maria Florea, Constantin Vertan The Image Processing and Analysis Lab (LAPI), Politehnica Univ

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            Source URL: arxiv.org

            - Date: 2016-05-31 20:12:06
              127

              Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning Oron Anschel 1 Nir Baram 1 Nahum Shimkin 1 Abstract Instability and variability of Deep Reinforcement

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              Source URL: proceedings.mlr.press

              - Date: 2018-02-06 15:06:57
                128

                Learning to Track at 100 FPS with Deep Regression Networks - Supplementary Material David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

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                Source URL: davheld.github.io

                - Date: 2017-12-05 20:18:02
                  129

                  Frankenstein: Learning Deep Face Representations using Small Data Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, Jakob Verbeek To cite this version:

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                  Source URL: hal.inria.fr

                  - Date: 2018-03-29 11:04:00
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