Deep Learning: A Overview of Theory and Architectures-Reference-Cited by-同舟云学术

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Deep Learning: A Overview of Theory and Architectures

Published:2024-02-21 Issue: Volume: Page:
ISSN:
Container-title:2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)
language:
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Author:

Shahinzadeh Hossein¹,Mahmoudi Arezou²,Asilian Amirhosein³,Sadrarhami Hamidreza⁴,Hemmati Mohammadreza⁴,Saberi Yaghoub⁴

Affiliation:

1. Amirkabir University of Technology,Department of Electrical Engineering,Tehran,Iran

2. University of Tabriz,Faculty of Electrical and Computer Engineering,Tabriz,Iran

3. Islamic Azad University,Najafabad Branch,Department of Electrical Engineering,Najafabad,Iran

4. Islamic Azad University,Faculty of Computer Engineering, Najafabad Branch,Najafabad,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475172/10475200/10475265.pdf?arnumber=10475265

Reference86 articles.

1. Machine Learning and Deep Learning: A Review of Methods and Applications;Sharifani;World Information Technology and Engineering Journal,2023

2. Deep learning in optical metrology: a review

3. A Review on Deep Learning Techniques for IoT Data

4. A review on deep learning in medical image analysis

5. Short-term Load Forecasting using the Combined Method of Wavelet Transform and Neural Networks Tuned by the Gray Wolf Optimization Algorithm

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications;Information;2024-08-25

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