How Universal approximation theorem works part4(Machine Learning)
Universal Approximation Theorem for Equivariant Maps by Group CNNs(arXiv) Author : Wataru Kumagai, Akiyoshi Sannai Abstract : Group symmetry is inherent in a wide variety of data distributions. Data processing that preserves symmetry is described as an equivariant map and often effective in achieving high performance. Convolutional neural networks (CNNs)…
How Universal approximation theorem works part4(Machine Learning) Universal Approximation Theorem for Equivariant Maps by Group CNNs(arXiv) Author : Wataru Kumagai, Akiyoshi Sannai Abstract : Group symmetry is inherent in a wide variety of data distributions. Data processing that preserves symmetry is described as an equivariant map and often effective in achieving high performance. Convolutional neural networks (CNNs)… deep-learning
Universal approximation theorem work part4Machine Learning Universal Approximation Theorem Equivariant Maps Group CNNsarXiv Author Wataru Kumagai Akiyoshi Sannai Abstract Group symmetry inherent wide variety data distribution Data processing preserve symmetry described equivariant map often effective achieving high performance Convolutional neural network CNNs… deeplearning