Revisiting optimization techniques for deep learning: Evaluating the convergence stability of Adam and AMSGrad in large-scale neural networks
Fields of Study & Subjects
Stochastic Gradient Optimization Techniques
Neural Networks and Applications
Machine Learning and Data Classification
Publication details
- Journal / source
- CRC Press eBooks
- Pages
- 229–235
- Publication date
- 29 January 2026
- Language
- EN
- Document type
- Book chapter