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TensorFlow Lite Solution for running ML on-device /

Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Warden, Pete (Autor), Garg, Nupur (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc., 2020.
Edición:1st edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at Google and the primary inference framework for all on-device use cases. Prerequisite knowledge Familiarity with ML What you'll learn Learn how TensorFlow Lite tools work and how to convert and optimize models for mobile and embedded devices.
Descripción Física:1 online resource (1 video file, approximately 34 min.)