Random search and reproducibility for neural architecture search /

"Neural architecture search (NAS) is a promising research direction that has the potential to replace expert-designed networks with learned, task-specific architectures. Ameet Talwalkar (Carnegie Mellon University | Determined AI) shares work that aims to help ground the empirical results in th...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: O'Reilly Artificial Intelligence Conference
Format: Electronic Conference Proceeding Video
Language:Inglés
Published: [Place of publication not identified] : O'Reilly, 2019.
Subjects:
Neural networks (Computer science)
Machine learning.
Computer network architectures.
Neural Networks, Computer
Réseaux neuronaux (Informatique)
Apprentissage automatique.
Réseaux d'ordinateurs > Architectures.
Online Access:Texto completo (Requiere registro previo con correo institucional)

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Texto completo (Requiere registro previo con correo institucional)

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