These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

182 related articles for article (PubMed ID: 31120383)

  • 1. Effect of Depth and Width on Local Minima in Deep Learning.
    Kawaguchi K; Huang J; Kaelbling LP
    Neural Comput; 2019 Jul; 31(7):1462-1498. PubMed ID: 31120383
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Depth with nonlinearity creates no bad local minima in ResNets.
    Kawaguchi K; Bengio Y
    Neural Netw; 2019 Oct; 118():167-174. PubMed ID: 31295691
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Geometry of Energy Landscapes and the Optimizability of Deep Neural Networks.
    Becker S; Zhang Y; Lee AA
    Phys Rev Lett; 2020 Mar; 124(10):108301. PubMed ID: 32216422
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks.
    Liu B; Liu Z; Zhang T; Yuan T
    Neural Netw; 2021 Dec; 144():75-89. PubMed ID: 34454244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning.
    Kawaguchi K; Huang J; Kaelbling LP
    Neural Comput; 2019 Dec; 31(12):2293-2323. PubMed ID: 31614105
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Understanding Dynamics of Nonlinear Representation Learning and Its Application.
    Kawaguchi K; Zhang L; Deng Z
    Neural Comput; 2022 Mar; 34(4):991-1018. PubMed ID: 35231929
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Biologically plausible deep learning - But how far can we go with shallow networks?
    Illing B; Gerstner W; Brea J
    Neural Netw; 2019 Oct; 118():90-101. PubMed ID: 31254771
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
    Currie G; Hawk KE; Rohren E; Vial A; Klein R
    J Med Imaging Radiat Sci; 2019 Dec; 50(4):477-487. PubMed ID: 31601480
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tucker network: Expressive power and comparison.
    Liu Y; Pan J; Ng MK
    Neural Netw; 2023 Mar; 160():63-83. PubMed ID: 36621171
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Redundant feature pruning for accelerated inference in deep neural networks.
    Ayinde BO; Inanc T; Zurada JM
    Neural Netw; 2019 Oct; 118():148-158. PubMed ID: 31279285
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO).
    Karabayir I; Akbilgic O; Tas N
    IEEE Trans Neural Netw Learn Syst; 2021 Feb; 32(2):685-694. PubMed ID: 32481228
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise.
    Frazier-Logue N; Hanson SJ
    Neural Comput; 2020 May; 32(5):1018-1032. PubMed ID: 32187001
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic detection and classification of marmoset vocalizations using deep and recurrent neural networks.
    Zhang YJ; Huang JF; Gong N; Ling ZH; Hu Y
    J Acoust Soc Am; 2018 Jul; 144(1):478. PubMed ID: 30075670
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Theory of adaptive SVD regularization for deep neural networks.
    Bejani MM; Ghatee M
    Neural Netw; 2020 Aug; 128():33-46. PubMed ID: 32413786
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Towards dropout training for convolutional neural networks.
    Wu H; Gu X
    Neural Netw; 2015 Nov; 71():1-10. PubMed ID: 26277608
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification.
    Pang S; Yang X
    Comput Intell Neurosci; 2016; 2016():3049632. PubMed ID: 27610128
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Riemannian Curvature of Deep Neural Networks.
    Kaul P; Lall B
    IEEE Trans Neural Netw Learn Syst; 2020 Apr; 31(4):1410-1416. PubMed ID: 31251199
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis.
    Levine AB; Schlosser C; Grewal J; Coope R; Jones SJM; Yip S
    Trends Cancer; 2019 Mar; 5(3):157-169. PubMed ID: 30898263
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning in the machine: Recirculation is random backpropagation.
    Baldi P; Sadowski P
    Neural Netw; 2018 Dec; 108():479-494. PubMed ID: 30317133
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.