Universal Approximation Theory: The basic theory for deep learning-based computer vision models.

Wei Wang Qing Li

Published in: CoRR (2024)

Keyphrases

deep learning
computer vision
pattern recognition
image processing
probabilistic model
deep architectures
data sets
machine learning
face recognition
reinforcement learning
natural language
unsupervised learning