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insight - Convergence Analysis
Convergence Analysis for Orthonormal Deep Linear Neural Networks
The author provides a convergence analysis of Riemannian gradient descent for orthonormal deep linear neural networks, demonstrating a linear convergence rate with appropriate initialization.
Orthonormal Deep Linear Neural Networks Convergence Analysis
Orthonormal deep linear neural networks can achieve linear convergence with appropriate initialization, shedding light on the impact of orthonormality on training processes.
Orthonormal Deep Linear Neural Networks Convergence Analysis
Orthonormal deep linear neural networks can achieve linear convergence with appropriate initialization, shedding light on the impact of orthonormality on training.
Generalized Convergence of the Deep BSDE Method: Fully-Coupled FBSDEs
Generalizing convergence analysis for deep BSDE method with fully-coupled FBSDEs.
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