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Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning.
Francois Caron
Fadhel Ayed
Paul Jung
Hoil Lee
Juho Lee
Hongseok Yang
Published in:
CoRR (2023)
Keyphrases
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neural network
global convergence
learning algorithm
learning process
convergence rate
neural nets
reinforcement learning
optimization methods
machine learning
genetic programming
back propagation
global optimization
learning models
training process
convergence analysis