- Published on
Learn to Learn to Learn (Singapore)
- Authors
- Name
- Martin Andrews
- @mdda123
Presentation Link
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.
![Presentation Screenshot](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2018-04-29_AI-Day-Singapore_600x390.png&w=1200&q=75)
If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.
![Presentation Content Example](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2018-04-29_AI-Day-Singapore_12_600x390.png&w=1200&q=75)
Video Link
The presentation was kindly recorded by Engineers.sg.