Fundamental limits of overparametrized shallow neural networks for supervised learning.
Francesco CamilliDaria TieplovaJean BarbierPublished in: CoRR (2023)
Keyphrases
- fundamental limits
- supervised learning
- neural network
- unsupervised learning
- machine learning
- pattern recognition
- fuzzy logic
- reinforcement learning
- active learning
- semi supervised
- learning algorithm
- training data
- question answering
- multiple instance learning
- back propagation
- statistical learning
- self organizing maps
- training set
- hand crafted
- recurrent neural networks
- training process
- neural network model
- semi supervised learning
- supervised machine learning
- learning tasks
- training examples
- labeled data
- information extraction
- artificial neural networks
- genetic algorithm
- multilayer perceptron
- super resolution
- natural language processing
- supervised classification
- rule extraction
- fault diagnosis
- learning process
- wall street journal