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Architecting Invariance: A Deep Dive into Permutation Equivariant Networks

Sanjay (Autor)

Buch | Softcover

138 Seiten

2024
tredition (Verlag)
978-3-384-26216-5 (ISBN)

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"Architecting Invariance" dives into a specific type of neural network architecture called permutation equivariant networks. These networks process sets of data, where the order of items doesn't matter. The book explores how these networks achieve a key property called permutation invariance, meaning they produce the same output regardless of how the input elements are shuffled. This allows the networks to be more efficient and generalize better on set-based data by focusing on the content rather than order. The book likely explains how these networks are designed and analyzes their capabilities for various tasks involving sets.

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Erscheint lt. Verlag	15.6.2024
Verlagsort	miami
Sprache	englisch
Maße	155 x 234 mm
Gewicht	243 g
Themenwelt	Medizin / Pharmazie ► Medizinische Fachgebiete ► Neurologie
Themenwelt	Naturwissenschaften ► Biologie ► Humanbiologie
Schlagworte	Deep learning • Deep Sets • Equivariant Layers • group theory • Invariant Feature Extraction • Message Passing Networks • Neural networks • Permutation Equivariant Networks (PENs) • Permutation Invariance • Set-Based Learning
ISBN-10	3-384-26216-6 / 3384262166
ISBN-13	978-3-384-26216-5 / 9783384262165
Zustand	Neuware