Pages that link to "Item:Q2057723"

The following pages link to Theory of deep convolutional neural networks. II: Spherical analysis (Q2057723):

Displaying 17 items.

• Fully hyperbolic convolutional neural networks (Q2079530) (← links)
• Approximation of functions from korobov spaces by deep convolutional neural networks (Q2108977) (← links)
• Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling (Q2112261) (← links)
• Theory of deep convolutional neural networks: downsampling (Q2185717) (← links)
• Universality of deep convolutional neural networks (Q2300759) (← links)
• Deep distributed convolutional neural networks: Universality (Q4560301) (← links)
• THE CNN PARADIGM: SHAPES AND COMPLEXITY (Q5474278) (← links)
• Approximating functions with multi-features by deep convolutional neural networks (Q5873927) (← links)
• 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)
• Error bounds for approximations using multichannel deep convolutional neural networks with downsampling (Q6155792) (← links)
• Approximation analysis of CNNs from a feature extraction view (Q6496341) (← links)
• Moduli of smoothness, \(K\)-functionals and Jackson-type inequalities associated with Kernel function approximation in learning theory (Q6587592) (← links)
• On the density of translation networks defined on the unit ball (Q6633210) (← links)
• Learning and approximating piecewise smooth functions by deep sigmoid neural networks (Q6634146) (← links)
• Solving PDEs on spheres with physics-informed convolutional neural networks (Q6652574) (← links)