Pages that link to "Item:Q2003969"
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The following pages link to Selection dynamics for deep neural networks (Q2003969):
Displaying 15 items.
- Machine learning from a continuous viewpoint. I (Q829085) (← links)
- Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution (Q924419) (← links)
- Deep learning model selection of suboptimal complexity (Q1616234) (← links)
- Deep neural networks motivated by partial differential equations (Q1988348) (← links)
- Residual networks as flows of diffeomorphisms (Q1988351) (← links)
- Deep learning as optimal control problems: models and numerical methods (Q2297872) (← links)
- Deep relaxation: partial differential equations for optimizing deep neural networks (Q2319762) (← links)
- Data-driven optimal control of a SEIR model for COVID-19 (Q2699507) (← links)
- Stable architectures for deep neural networks (Q4607800) (← links)
- State-Space Representations of Deep Neural Networks (Q5154125) (← links)
- Stability of Deep Neural Networks via Discrete Rough Paths (Q5885832) (← links)
- The Continuous Formulation of Shallow Neural Networks as Wasserstein-Type Gradient Flows (Q5886422) (← links)
- Turnpike in optimal control of PDEs, ResNets, and beyond (Q5887835) (← links)
- An introduction to the mathematics of deep learning (Q6064555) (← links)
- Deep learning via dynamical systems: an approximation perspective (Q6172665) (← links)
