A State-Of-The-Art Survey on Deep Learning Methods and Applications
| Main Authors: | Muhamet Kastrati, Marenglen Biba |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5164289 |
Daftar Isi:
- Abstract—The main objective of this paper is to provide a stateof- the-art survey on deep learning methods and applications. It starts with a short introduction to deep learning and its three main types of deep learning approaches including supervised learning, unsupervised learning and reinforcement learning. In the following deep learning is presented along with a review of state-of-the-art methods including feed forward neural networks, recurrent neural networks, convolutional neural networks and their extended variants. Then a brief overview on the application of deep neural networks in various domains of science and industry is given. Finally, conclusions are drawn in the last section. Deep Learning; Convolutional Neural Network; Recurrent Neural Network; Long Short-Term Memory; Gated Recurrent Unit