Unleashing the power of deep neural networks: An interactive exploration of static and dynamic architectures

Author:

Verma Preeti RajORCID,Singh Navneet Pratap,Pantola Deepika

Publisher

Springer Science and Business Media LLC

Reference93 articles.

1. Zomorodian R, Rezasoltani M, Ghofrani MB (2011) Static and dynamic neural networks for simulation and optimization of cogeneration systems. Int J Energy Environ Eng 2(1):51–61

2. Wu Z-G, Lam J, Su H, Chu J (2011) Stability and dissipativity analysis of static neural networks with time delay. IEEE Transactions on Neural Networks and Learning Systems. 23(2):199–210

3. Han Y, Huang G, Song S, Yang L, Wang H, Wang Y (2021) Dynamic neural networks: A survey. IEEE Trans Pattern Anal Mach Intell 44(11):7436–7456

4. Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60(6):84–90

5. Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556

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