MADL: A Multilevel Architecture of Deep Learning
Deep neural networks (DNN) are a powerful tool that is used in many real-life applications. Solving complicated real-life problems requires deeper and larger networks, and hence, a larger number of parameters to optimize. This paper proposes a multilevel architecture of deep learning (MADL) that bre...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-02-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125952407/view |