Optimization Techniques for Deep Learning
Atefeh Hemmati (),
Amir Masoud Rahmani (),
Fatemeh Bazikar (),
Hossein Moosaei () and
Panos M. Pardalos ()
Additional contact information
Atefeh Hemmati: Islamic Azad University, Department of Computer Engineering, SR.C
Amir Masoud Rahmani: National Yunlin University of Science and Technology, Future Technology Research Center
Fatemeh Bazikar: Alzahra University, Department of Computer Science, Faculty of Mathematical Sciences
Hossein Moosaei: Jan Evangelista Purkyně University, Department of Informatics, Faculty of Science
Panos M. Pardalos: University of Florida, Department of Industrial & Systems Engineering
in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu
Date: 2026
ISBN: 978-3-032-20703-6
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Chapters in this book:
- Ch Chapter 1 Neural Networks and Deep Learning
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 10 Deep Belief Networks (DBNs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 11 Graph Neural Networks (GNNs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 12 Transformers
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 2 Optimization Techniques for Neural Networks
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 3 Convolutional Neural Networks (CNNs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 4 Recurrent Neural Networks (RNNs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 5 Long Short-Term Memory Networks (LSTMs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 6 Generative Adversarial Networks (GANs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 7 Radial Basis Function Networks (RBFNs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 8 Multilayer Perceptrons (MLPs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
- Ch Chapter 9 Self-Organizing Maps (SOMs)
- Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spopap:978-3-032-20703-6
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DOI: 10.1007/978-3-032-20703-6
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