Pages that link to "Item:Q1895884"
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The following pages link to Approximation properties of a multilayered feedforward artificial neural network (Q1895884):
Displaying 13 items.
- A deep network construction that adapts to intrinsic dimensionality beyond the domain (Q6054952) (← links)
- Theory of deep convolutional neural networks. III: Approximating radial functions (Q6055154) (← links)
- Rates of approximation by ReLU shallow neural networks (Q6062171) (← links)
- Bayesian neural tree models for nonparametric regression (Q6075185) (← links)
- SignReLU neural network and its approximation ability (Q6126040) (← links)
- Deep learning theory of distribution regression with CNNs (Q6168055) (← links)
- Approximation of nonlinear functionals using deep ReLU networks (Q6170363) (← links)
- Learning ability of interpolating deep convolutional neural networks (Q6185680) (← links)
- Approximation of smooth functionals using deep ReLU networks (Q6488836) (← links)
- Approximation analysis of CNNs from a feature extraction view (Q6496341) (← links)
- Approximation of functions from Korobov spaces by shallow neural networks (Q6544585) (← links)
- Construction and approximation rate for feedforward neural network operators with sigmoidal functions (Q6591537) (← links)
- Approximation rates for deep calibration of (rough) stochastic volatility models (Q6606848) (← links)
