On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions.
Simon MartinFrancis BachGiulio BiroliPublished in: AISTATS (2024)
Keyphrases
- high dimensions
- neural network
- training algorithm
- training process
- high dimensional data
- feed forward neural networks
- high dimensional
- feedforward neural networks
- multi layer perceptron
- train a neural network
- back propagation
- indexing schemes
- neural network model
- question answering
- recurrent neural networks
- training set
- high dimensional spaces
- real world
- training patterns
- nearest neighbor
- feature vectors
- artificial neural networks
- pattern recognition
- training data
- learning algorithm
- poor quality
- data sets