DEEP LEARNING INDABA
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Deep Learning Indaba𝕏

​We introduce the Indaba𝕏: a way to experiment with the ways in which we can strengthen our Machine Learning community, and to allow more people to contribute to the conversation.

A Deep Learning Indaba𝕏 is a locally-organised Indaba that helps spread knowledge and builds capacity in machine learning.

Applications are now open! More details here. 
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  • Home
  • IndabaX
    • IndabaX 2020 Call
    • IndabaX Core Contacts
    • Code of Conduct
  • Sponsorship
  • Indaba 2019
    • Code of Conduct
    • Programme
    • Indaba Map
    • Keynote Speakers
    • All Speakers
    • Slides and Videos
    • Poster and Research Day
    • Practical Sessions
    • Hackathon Track
    • Evening Events
    • Women at Indaba Evening
    • FAQ >
      • Accommodation
      • Staying at Nyayo
      • About Kenya
      • Transportation
      • Visa Information
      • Sponsorship
    • Organisers
  • Blog
  • About
    • Our Mission
    • Reports
    • Resources >
      • Code of Conduct
      • Community
      • Slides and Videos
      • Other Tutorials
    • Media and News
    • Organisers and Advisors
    • Indaba 2018 >
      • Schedule
      • Poster Sessions
      • Parallel Sessions
      • Speakers
      • Slides and Videos
      • Women in ML
      • Sponsors
      • Payments
      • Important Contacts
      • Accommodation
      • Travel and Venue
      • Background Material
    • Indaba 2017 >
      • 2017 Recordings
      • Speakers >
        • All Speakers
        • Alta De Waal
        • Anima Anandkumar
        • Benjamin Rosman
        • Bubacarr Bah
        • Danielle Belgrave
        • George Konidaris
        • Konstantina Palla
        • Marc Deisenroth
        • Nando de Freitas
        • Nyalleng Moorosi
        • Richard Klein
        • Stephan Gouws
        • Ulrich Paquet
        • Vukosi Marivate
        • Willie Brink
        • Yann Dauphin
      • Programme >
        • Schedule
        • Ask a Question: Q&A tool
        • Posters Sessions
        • Industry Exhibitions
        • Pre-Indaba Work
        • Background Topics 2017
      • Sponsors
      • Logistics >
        • Venue
        • Accommodation
        • Travel
      • 2017 Organisers