ACCELERATE DEEP LEARNING WORKLOADS WITH AMAZON SAGEMAKER train, deploy and scale deep learning models effectively using Amazon Sagemaker /

Plan and design model serving infrastructure to run and troubleshoot distributed deep learning training jobs for improved model performance. Key Features Explore key Amazon SageMaker capabilities in the context of deep learning Train and deploy deep learning models using SageMaker managed capabiliti...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Dabravolski, Vadim (Author)
Format: Electronic eBook
Language:Inglés
Published: [S.l.] : PACKT PUBLISHING LIMITED, 2022.
Subjects:
Amazon Web Services.
Machine learning.
Web services.
Cloud computing.
Apprentissage automatique.
Services Web.
Infonuagique.
Cloud computing
Machine learning
Web services
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Table of Contents Introducing Deep Learning with Amazon SageMaker Deep Learning Frameworks and Containers on SageMaker Managing SageMaker Development Environment Managing Deep Learning Datasets Considering Hardware for Deep Learning Training Engineering Distributed Training Operationalizing Deep Learning Training Considering Hardware For Inference Implementing Model Servers Operationalizing Inference Workloads.

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