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About Nature Inspired Meta-Heuristic Algorithms For Deep Learning: Recent Progress and Novel Perspective
This document discusses the application of nature-inspired metaheuristic algorithms for optimizing deep learning models. It provides a brief introduction on nature-inspired algorithms and deep learning. The document then reviews recent literature applying nature-inspired algorithms like genetic algorithms, cuckoo search, and particle swarm optimization to train deep learning architectures such as convolutional neural networks and deep belief networks. It argues that greater synergy is needed between nature-inspired algorithm and deep learning research to develop more powerful techniques for solving real-world problems.
Detailed Information
| Author: | ['Jothi Prabha'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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