The Path From Cloud AutoML to Custom Model (Cloud Next '19)

Опубликовано 11 апреля 2019, 23:44

What comes after AutoML? You've created some models in Cloud AutoML, and they've been useful. But you want to see if there's some room for more improvement and customization. Let's see how to start building custom models and deploy them in production. You'll learn how to take advantage of state-of-the-art models, all while advancing your understanding of your data pipelines and machine learning.

Cloud AutoML to Custom Model → bit.ly/2UhnfL7

Watch more:
Next '19 ML & AI Sessions here → bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions

Subscribe to the GCP Channel → bit.ly/GCloudPlatform


Speaker(s): Yufeng Guo, Sara Robinson

Session ID: MLAI301


event: Google Cloud Next 2019; re_ty: Publish; product: TensorFlow - General, Cloud - Data Analytics - BigQuery, Cloud - AI and Machine Learning - Cloud Natural Language, Cloud - AI and Machine Learning - AutoML; fullname: Sara Robinson; event: Google Cloud Next 2019;