Optimization Techniques for Neural Networks

Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
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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

Chapter Chapter 2 in Optimization Techniques for Deep Learning, 2026, pp 21-47 from Springer

Abstract: Abstract Ian Goodfellow, the mind behind GANs and a titan of deep learning (DL), did not just define optimization; he gave it a pulse. In the world of neural networks, raw architecture is mere potential. Optimization is what breathes life into it, turning static weights into adaptive intelligence.

Date: 2026
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DOI: 10.1007/978-3-032-20703-6_2

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