Plug and Play Deep Convolutional Neural Networks

被引：0

作者：

Neary, Patrick ^{[1
]}

Allan, Vicki ^{[1
]}

机构：

[1] Utah State Univ, Dept Comp Sci, Old Main Hill, Logan, UT 84322 USA

来源：

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART), VOL 2 | 2019年

关键词：

Image Recognition; Machine Learning; Convolutional Neural Networks; Artificial Intelligence; Hyperparameter Tuning; Deep Learning;

D O I：

10.5220/0007255103880395

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Major gains have been made in recent years in object recognition due to advances in deep convolutional neural networks. One struggle with deep learning is identifying an optimal network architecture for a given problem. Often different configurations are tried until one is identified that gives acceptable results. This paper proposes an asynchronous learning algorithm that finds an optimal network configuration by automatically adjusting network hyperparameters.

引用

页码：388 / 395

页数：8

共 50 条

[1] Convolutional proximal neural networks and Plug-and-Play algorithms
Hertrich, Johannes
Neumayer, Sebastian
Steidl, Gabriele
LINEAR ALGEBRA AND ITS APPLICATIONS, 2021, 631 : 203 - 234
[2] Training Deep Convolutional Neural Networks to Play Go
Clark, Christopher
Storkey, Amos
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 37, 2015, 37 : 1766 - 1774
[3] PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks
Xiao, Anqi
Shen, Biluo
Tian, Jie
Hu, Zhenhua
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (09) : 12718 - 12730
[4] Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs
Alrajhi, Laila
Cristea, Alexandra, I
AUGMENTED INTELLIGENCE AND INTELLIGENT TUTORING SYSTEMS, ITS 2023, 2023, 13891 : 651 - 666
[5] Deep Convolutional Neural Networks
Gonzalez, Rafael C.
IEEE SIGNAL PROCESSING MAGAZINE, 2018, 35 (06) : 79 - 87
[6] Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks
Wang, Run
Ren, Jixing
Li, Boheng
She, Tianyi
Zhang, Wenhui
Fang, Liming
Chen, Jing
Wang, Lina
PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 8463 - 8474
[7] Deep Anchored Convolutional Neural Networks
Huang, Jiahui
Dwivedi, Kshitij
Roig, Gemma
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 639 - 647
[8] DEEP CONVOLUTIONAL NEURAL NETWORKS FOR LVCSR
Sainath, Tara N.
Mohamed, Abdel-rahman
Kingsbury, Brian
Ramabhadran, Bhuvana
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 8614 - 8618
[9] Deep Unitary Convolutional Neural Networks
Chang, Hao-Yuan
Wang, Kang L.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2021, PT II, 2021, 12892 : 170 - 181
[10] Universality of deep convolutional neural networks
Zhou, Ding-Xuan
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2020, 48 (02) : 787 - 794

← 1 2 3 4 5 →