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Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces.
Philipp Grohs
Felix Voigtländer
Published in:
CoRR (2021)
Keyphrases
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deep learning
approximation spaces
complexity bounds
neural network
rough sets
unsupervised learning
rough set theory
real world
fuzzy logic
worst case
weakly supervised
machine learning
data mining
theorem proving
mental models
association rules
knn
pattern recognition
fuzzy sets