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Learn to Learn to Learn (Singapore)

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At last the Singapore AI Day arrived!

Our speaker line-up included :

  • A Recap from TensorFlow Summit - Sorawit Saengkyongam, Google Developer Expert Machine Learning

  • Machine Learning in JavaScript with TensorFlow.js - Virot Chiraphadhanakul, Google Developer Expert Machine Learning

  • Parallelising Machine Learing using R - Chris Auld, Principal Technical Evangelist Manager - Southeast Asia at Microsoft

  • Building AI Products: From Paper to Prototype to Production - Sam Witteveen, Google Developer Expert Machine Learning

  • Learn to Learn to Learn - Martin Andrews, Google Developer Expert Machine Learning (me)

  • Deep learning in life sciences - Allen Day, Developer Advocate, Google

  • Reinforcement Learning for Connect4 - Hardeep Arora, Head AI/Advanced Analytics, Accenture

  • Data Science at GoJek

The talk I gave was an updated version of the FOSSASIA workshop I gave previously, but without having people follow along with their own Virtual Machines, due to time construints.

I chose to give greater weight to the last three of the four sections :

  • Machine Learning in TensorFlow Playground
  • Using Keras model zoo for the pre-trained NASNet model, and doing transfer learning there
  • Going through the Reptile meta-learning algorithm (implemented in PyTorch)
  • Showing how TensorFlow Eager mode can accomplish the same, line-by-line

As usual, all the source for the deeplearning-workshop notebooks is available on GitHub - if you have questions on the software, please leave an 'issue' there.

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If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.

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The presentation was kindly recorded by Engineers.sg.

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