Firebase Summit Extended 2018 Singapore was recently and I gave a talk on Firebase MLKit and TensorFlow Lite. If you've not used Firebase before, its a mobile platform by Google to make developing Android, iOS and webapps easier and quicker. Originally Firebase was Analytics, Admob and a database but has been expanding quite a lot over the last few years. One of the new additions to the Firebase family is MLKit. It makes it easier to use machine learning features in your app (both Android and iOS) without the hassle it might otherwise be. more ...

If you've installed TensorFlow from pip, you've probably come across this message:

tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

Well, I did too and it got me wondering how much of a difference those instructions end up making. People often say GPUs are required for any non-trivial ML work so I wanted to see if that was really true. I decided to delve in and optimize TensorFlow and make it faster on my machine. I gave a talk about this yesterday at the TensorFlow and Deep Learning Meetup in Singapore, the slides will be attached at the end as well.

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