Deep Learning in High Dimension: Neural Network Expression Rates for Analytic Functions in \(\pmb{L^2(\mathbb{R}^d,\gamma_d)}\).
Christoph SchwabJakob ZechPublished in: SIAM/ASA J. Uncertain. Quantification (2023)
Keyphrases
- deep learning
- high dimension
- neural network
- program synthesis
- real valued
- unsupervised learning
- unsupervised feature learning
- feature space
- high dimensional
- machine learning
- small sample
- feature selection
- artificial neural networks
- input space
- pattern recognition
- back propagation
- mental models
- computer vision
- dimensionality reduction
- low dimensional
- small number
- feature vectors
- prediction model
- weakly supervised
- training data