Optimizing TensorFlow Models for Serving (Google Cloud AI Huddle)

In this episode of Google Cloud AI Huddle, Google Cloud Solutions Architect, Lukman Ramsey, discusses technical infrastructure on how to efficiently serve TensorFlow models on Google Cloud by sharing TF model formats, optimization tools, examples and more!

Read more on optimizing TF models for serving →

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.

AI Huddle → https://bit.ly/2RPkwmO

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product: Cloud Machine Learning Engine; fullname: Lukman Ramsey

Duration: 58:45
Publisher: Google Cloud
You can watch this video also at the source.

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