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InfoQ Homepage Presentations Deep Learning @Google Scale: Smart Reply in Inbox

Deep Learning @Google Scale: Smart Reply in Inbox

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Summary

Anjuli Kannan describes the algorithmic, scaling and deployment considerations involved in an extremely prominent application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox.

Bio

Anjuli Kannan is a senior software engineer at Google. She is a member of the Brain Team, which works to advance the field of machine intelligence through a combination of basic research, software (TensorFlow), and applications that improve people's lives. Recently she was a core member of the team that brought the Smart Reply feature to Inbox by Gmail.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Oct 03, 2017

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Community comments

  • Novel approach

    by Vijayant Dhankhar,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    Enjoyed the succinct presentation with insights into application of neural networks to yet another problem domain.

  • no slide link ?

    by Nurali Virani,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    I don't see slide link for this presentation.

  • Re: no slide link ?

    by Roxana Bacila,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    Hi Nurali,
    Unfortunately there are no slides available for download for this presentation.
    Roxana Bacila
    Community Manager
    InfoQ Enterprise Software Development Community
    InfoQ.com | InfoQ China | InfoQ Japan | InfoQ Brazil | InfoQ France | QCon

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