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On Definition of Deep Learning

2018 World Automation Congress (WAC), 2018
Deep learning has become a buzz word recently. However, there is a lack of unified definition to deep learning in literature. The goal of this paper is to overview various definitions to deep learning and to show their limitations. Finally, a unified or more general definition to deep learning is given. The paper also outlines a general methodology for
Wen-Jun Zhang 0005   +4 more
openaire   +2 more sources

Deep Reinforcement Learning: From Q-Learning to Deep Q-Learning

2017
As the two hottest branches of machine learning, deep learning and reinforcement learning both play a vital role in the field of artificial intelligence. Combining deep learning with reinforcement learning, deep reinforcement learning is a method of artificial intelligence that is much closer to human learning.
Fuxiao Tan, Pengfei Yan, Xinping Guan
openaire   +1 more source

A Survey of Deep Active Learning

ACM Computing Surveys, 2022
Zhihui Li, Pengzhen Ren, Xiaojun Chang
exaly  

A survey on deep learning and its applications

Computer Science Review, 2021
Khushnood Abbas, Shi Dong
exaly  

An Experimental Review on Deep Learning Architectures for Time Series Forecasting

International Journal of Neural Systems, 2021
Manuel Carranza-García   +2 more
exaly  

Ensemble deep learning: A review

Engineering Applications of Artificial Intelligence, 2022
Minghui Hu   +2 more
exaly  

A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications

ACM Computing Surveys, 2022
Ms. Aayushi Bansal, Mamta Kathuria
exaly  

Deep Learning for Radio-Based Human Sensing: Recent Advances and Future Directions

IEEE Communications Surveys and Tutorials, 2021
Xiaoqing Zhu   +2 more
exaly  

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Cancer Cell, 2022
Faisal Mahmood   +2 more
exaly  

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