Pages that link to "Item:Q5380421"
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The following pages link to A Mathematical Motivation for Complex-Valued Convolutional Networks (Q5380421):
Displaying 7 items.
- Scale-invariant learning and convolutional networks (Q347531) (← links)
- Complex-valued autoencoders (Q1941595) (← links)
- The universal approximation theorem for complex-valued neural networks (Q2689134) (← links)
- Lipschitz properties for deep convolutional networks (Q4686249) (← links)
- Towards understanding theoretical advantages of complex-reaction networks (Q6077000) (← links)
- A neural network warm-start approach for the inverse acoustic obstacle scattering problem (Q6173369) (← links)
- Physics-informed holomorphic neural networks (PIHNNs): solving 2D linear elasticity problems (Q6643566) (← links)