Inside deep learning math, algorithms, models

Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type...

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Detalles Bibliográficos
Autor Corporativo: Manning Publications, publisher (publisher)
Otros Autores: Raff, Edward, author (author)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Shelter Island, New York] : Manning Publications [2022]
Edición:[First edition]. Video edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825869906719
Descripción
Sumario:Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!
Notas:“In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.”
Descripción Física:1 online resource (1 video file (15 hr., 54 min.)) : sound, color