Ata uhi

Applications of Game Theory in Deep Learning

This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep learning techniques. Applications of Game Theory in Deep Learning provides an extensive and insightful exploration of game theory in deep learning, diving deep into both the th...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Hazra, Tanmoy (Author), Anjaria, Kushal (Author), Bajpai, Aditi (Author), Kumari, Akshara (Author)
Kaituhi rangatōpū: SpringerLink (Online service)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Putanga:1st ed. 2024.
Rangatū:SpringerBriefs in Computer Science,
Ngā marau:
Machine learning.
Game theory.
Artificial intelligence.
Machine Learning.
Game Theory.
Artificial Intelligence.
Urunga tuihono:https://doi.org/10.1007/978-3-031-54653-2
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
Rārangi ihirangi:
  • 1. Introduction
  • 2. Cooperative Game Theory
  • 3. Noncooperative Game Theory
  • 4. Applications of Game Theory in Deep Neural Networks
  • 5. Case Studies and Different Applications
  • 6. Conclusion and Future Research Directions.

Ngā tūemi rite