Deep learning

被引:14
|
作者
Wick C. [1 ]
机构
[1] Lehrstuhl für Künstliche Intelligenz und angewandte Informatik, Julius-Maximilians-Universität Würzburg, Am Hubland, Würzburg
关键词
D O I
10.1007/s00287-016-1013-2
中图分类号
学科分类号
摘要
[No abstract available]
引用
收藏
页码:103 / 107
页数:4
相关论文
共 50 条
  • [1] A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
    Morales, Eduardo F.
    Murrieta-Cid, Rafael
    Becerra, Israel
    Esquivel-Basaldua, Marco A.
    INTELLIGENT SERVICE ROBOTICS, 2021, 14 (05) : 773 - 805
  • [2] A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
    Eduardo F. Morales
    Rafael Murrieta-Cid
    Israel Becerra
    Marco A. Esquivel-Basaldua
    Intelligent Service Robotics, 2021, 14 : 773 - 805
  • [3] Deep Questioning and Deep Learning
    Gunderman, Richard
    ACADEMIC RADIOLOGY, 2012, 19 (04) : 489 - 490
  • [4] DEEP TROUBLE FOR DEEP LEARNING
    Heaven, Douglas
    NATURE, 2019, 574 (7777) : 163 - 166
  • [5] Deep, deep learning with BART
    Blumenthal, Moritz
    Luo, Guanxiong
    Schilling, Martin
    Holme, H. Christian M.
    Uecker, Martin
    MAGNETIC RESONANCE IN MEDICINE, 2023, 89 (02) : 678 - 693
  • [6] Deep learning in deep time
    White, Alexander E.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (47) : 29268 - 29270
  • [7] Deep learning
    Hof, R.D., 1600, Massachusetts Institute of Technology (116):
  • [8] Deep learning
    Nicole Rusk
    Nature Methods, 2016, 13 : 35 - 35
  • [9] Deep learning
    Yann LeCun
    Yoshua Bengio
    Geoffrey Hinton
    Nature, 2015, 521 : 436 - 444
  • [10] Deep Learning
    Kim, Kwang Gi
    HEALTHCARE INFORMATICS RESEARCH, 2016, 22 (04) : 351 - 354