Using Tensorflow with Docker (Google Cloud AI Huddle)

In this episode of Google Cloud AI Huddle, Yu-Han Liu, goes over how to use Tensorflow with Docker. Specifically, he talks about how to run a machine learning workflow more efficiently in regards to your own development cycles.

Google AI Huddle is an open, collaborative and developer-first AI forum driven by Google AI expertise. It’s a monthly in-person engagement where Googlers engage with developers to speak on ML topics, deliver workshops / tutorials, and hands-on labs. AI Huddle is open to all GCP customers, startups and developers interested in learning about Google AI. The Huddle provides:

• Direct avenue to speak with Google experts on real problems they face in their ML and AI projects
• Opportunity to hear about the latest developments from experts and peers in the industry and community
• Engaging technical content and discussions to help address real development problems in ML.

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Product: Tensorflow, Google Cloud Platform; full name: Yu-Han Liu;

Duration: 01:23:12
Publisher: Google Cloud
You can watch this video also at the source.

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