Avoiding the pitfalls of deep learning : solving model overfitting with regularization and dropout /

"Understanding how to create a deep learning neural network is an essential component of any data scientist's knowledge base. This course covers some of the challenges that arise when training neural networks. It focuses on the problem of overfitting and its potential remedy: regularizatio...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, [2017]
Temas:
Neural networks (Computer science)
Machine learning.
Réseaux neuronaux (Informatique)
Apprentissage automatique.
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Understanding how to create a deep learning neural network is an essential component of any data scientist's knowledge base. This course covers some of the challenges that arise when training neural networks. It focuses on the problem of overfitting and its potential remedy: regularization."--Resource description page
Notas:Title from title screen (Safari, viewed December 6, 2017).
Release information from resource description page (Safari, viewed December 6, 2017).
Descripción Física:1 online resource (1 streaming video file (47 min., 16 sec.))

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