courseraIT и технологии

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Курс от Google Cloud

Средний≈ 1.5 чАнглийский

О курсе

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

Навыки, которые вы освоите

Model Training Image Analysis Cloud Management Model Deployment MLOps (Machine Learning Operations)Data Management Applied Machine Learning Cloud Deployment Scalability Cloud Storage Cloud Computing Kubernetes Google Cloud Platform Tensorflow

Программа курса

1 модулей · 1 учебных материалов

01Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes1 материалов

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Autoscaling TensorFlow Model Deployments with TF Serving and KubernetesВнешний инструмент

Учитесь у экспертов

Google Cloud Training

Преподаватель курса