TensorFlow Lite
Low-latency inference of on-device ML models
What it does
TensorFlow’s lightweight solution for mobile and embedded devices. TensorFlow has always run on many platforms but as the adoption of ML models has grown exponentially over the last few years, so has the need to deploy them on mobile and embedded devices. TensorFlow Lite enables low-latency inference of on-device machine learning models.
Does the same job
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- IT“Is this loss?”: A TensorFlow Lite app to detect Loss.jpg2018 · ▲82
I built this app over a week as a way to learn how to use TensorFlow with Mobilenets and to get some experience with Google Play (and partly as a dare). It's written in Java, as I wasn't able to find a Kotlin API for TFLite. It was built with Bazel. I'm pretty satisfied with the actual detector's performance, although I expect I could improve the UI a little bit. It's a weird UX, as you want it to be as simple and fast as possible (loss/notloss) but you also want it to have some sort of recognizability. I would love to hear your thoughts.…
- CTComprehensive Tutorials in Deep Learning Using TensorFlow2018 · github.com · ▲327
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