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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:
Found. Comput. Math. (2024)
Keyphrases
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deep learning
approximation spaces
complexity bounds
neural network
rough sets
unsupervised learning
rough set theory
machine learning
pattern recognition
granular computing
weakly supervised
database
query language
worst case
schema mappings