YouTube search...
...Google search
|
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: http://cloud.google.com/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 → http://bit.ly/2UhnfL7 Watch more: Next '19 ML & AI Sessions here → http://bit.ly/Next19MLandAI Next ‘19 All Sessions playlist → http://bit.ly/Next19AllSessions Subscribe to the GCP Channel → http://bit.ly/GCloudPlatform Speaker(s): Yufeng Guo, Sara Robinson
|
|
|
|
