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AI Infrastructure on GCP (Cloud Next ‘19 UK)
Google Cloud’s AI-optimized infrastructure is setting performance records. From a wide range of our GPU accelerators, to our custom-built supercomputers, Cloud TPU Pods, GCP offers a modern infrastructure for your ML workflows. Learn how you to get started with these accelerators through GCP products and services.

Cloud AI & ML (Google Cloud Talks by DevRel)
Our high-quality, scalable, continuously improving, and fully managed AI services put you in a position to innovate faster and more efficiently than the competition. Join our Developer Advocate team to get a comprehensive view of Google Cloud AI platform and solutions and learn how it can help turn your ideas to deployment rapidly and efficiently. Learn more about Google Cloud AI Platform:

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

by Sara Robinson


The Path From Cloud AutoML to Custom Model (Cloud Next '19)
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 → Watch more: Next '19 ML & AI Sessions here → Next ‘19 All Sessions playlist → Subscribe to the GCP Channel → Speaker(s): Yufeng Guo, Sara Robinson

Building custom models in AutoML (DevFest 2019)
Kevin Nelson (@knelsoncloud), Developer Advocate for Google Cloud, discusses Machine Learning and building custom models in AutoML. Watch Kevin demonstrate building custom vision and structured data models during this talk.

Links: Video Intelligence → Vision → Speech → Natural Language → Translation → AutoML Tables → AutoML → Bank Marketing →

DevFest on demand 2019 → Subscribe to Google Developer Groups →