Manage MLOps and deploy Machine Learning to production with the new and improved TFX

machine learning tutorialget started in MLML deplyomentmachine learning deploymentMLOpsmachine learning modelML modelMachine LearningMLML community dayMachine learning community dayTensorFlowTFXtpuartificial intelligenceAItype: Conference Talk (Full production)pr_pr: TensorFlow

Скачать Manage MLOps and deploy Machine Learning to production with the new and improved TFX бесплатно в качестве 4к (2к / 1080p)

У нас вы можете скачать бесплатно Manage MLOps and deploy Machine Learning to production with the new and improved TFX или посмотреть видео с ютуба в максимальном доступном качестве.

Для скачивания выберите вариант из формы ниже:

Cкачать музыку Manage MLOps and deploy Machine Learning to production with the new and improved TFX бесплатно в формате MP3:

Если иконки загрузки не отобразились, ПОЖАЛУЙСТА, НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если у вас возникли трудности с загрузкой, пожалуйста, свяжитесь с нами по контактам, указанным в нижней части страницы.
Спасибо за использование сервиса video2dn.com

Описание к видео Manage MLOps and deploy Machine Learning to production with the new and improved TFX

If your goal is to use your model in a product or service, then you need a Production MLOps platform. That's why Google created TFX! Join us for an overview, and hear about some of the contributions that the ML community is creating to make TFX even better.

Resources:
TensorFlow Extended (TFX) → https://goo.gle/3bnyvM1

Speakers:
Robert Crowe (Developer Advocate), Tris Warkentin (Group Product Manager)

Watch all Google's Machine Learning Virtual Community Day sessions → https://goo.gle/mlcommunityday-all

Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow

#MLCommunityDay

product: TensorFlow - General; event: ML Community Day 2021; fullname: Robert Crowe, Tris Warkentin; re_ty: Publish;