Using lightning and hangar with PyTorch to reduce coding in deep learning projects.

An expert in machine learning and the co-author of "Deep Learning with PyTorch," Eli Stevens, shows how to use open-source libraries that are available in the PyTorch ecosystem to cut down the amount of code that you want to write in your deep learning projects.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications, [2020]
Edición:[First edition].
Temas:
Machine learning.
Machine Learning
Apprentissage automatique.
Machine learning
Webcast
Instructional films
Internet videos
Nonfiction films
Instructional films.
Nonfiction films.
Internet videos.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:An expert in machine learning and the co-author of "Deep Learning with PyTorch," Eli Stevens, shows how to use open-source libraries that are available in the PyTorch ecosystem to cut down the amount of code that you want to write in your deep learning projects.
Descripción Física:1 online resource (1 video file (1 hr., 36 min.)) : sound, color.
Tiempo de Juego:01:36:00

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