Android app developement using Tenserflow
Machine Learning is a big thing today, and Tensorflow is one big open source model we could use to to perform some of these tasks. So I get myself explore into it, and making is something simple to share as below.
There are many blogs out there, and Tensorflow itself has also provided great documents. Still then it still took me a while before getting something from scratch built up and deploy as an Android App. Partly TensorFlow support has evolved quite a bit (which happens I think last 1–2 years), making the content of some blogs no longer relevant, and some issue faced when applying the model into Android side.
So hopes though this blog you’ll have a smoother journey on it.
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These are my believes before I explore TensorFlow,
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To use TensorFlow, we’ll need to connect to Google Cloud to use the GPU or TPU. → Actually, the basic essential could be done on local machine, just not as powerful.
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To use TensorFlow in Android, we’ll need to use NDK for our compilation, going to low level C++ Programming → This used to be partially true I think (referring to this), but now we have the TensorFlow jar library provided. We could import and use it without need to create our own from NDK.
With the above 2 myths cleared, makes me a happy person to explore TensorFlow.
bdndbd
