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Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint.
Hao Liu
Minshuo Chen
Siawpeng Er
Wenjing Liao
Tong Zhang
Tuo Zhao
Published in:
CoRR (2022)
Keyphrases
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function approximation
smoothness constraint
reinforcement learning
temporal difference learning algorithms
learning tasks
optical flow
radial basis function
spatially varying
image intensity
neural network
energy function
supervised learning