Fine-tuning Neural-Operator architectures for training and generalization.
Jose Antonio Lara BenitezTakashi FuruyaFlorian FaucherXavier TricocheMaarten V. de HoopPublished in: CoRR (2023)
Keyphrases
- fine tuning
- fine tuned
- fine tune
- viable alternative
- neural architectures
- online learning
- recurrent networks
- training set
- training process
- network architecture
- artificial intelligence
- artificial neural networks
- neural models
- knowledge base
- case study
- multiscale
- feed forward neural networks
- bio inspired
- biologically inspired
- data sets
- general purpose
- supervised learning
- object detection
- support vector machine
- control system