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Machine Learning on the Edge: Android NN Api & TFlow

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Machine Learning on the Edge: Android NN Api & TFlow
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A short tour covering machine learning on mobile / small devices
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Neural Networks on your mobile phone: Diving into the NN Api
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90
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
Machine learning, deep learning are THE hot topics these days. Most machine learning tasks are handled on fast&expensive dedicated hardware. Complex structures based on larger models with lots of training data are in dare need of the any GPU cycles and local memory available. Yet, is already practical to run (infer) already trained NN models on your mobile today. The Neural Network API (NN API) - introduced for Android 8.1 - is available on some handsets already and a major step towards a new breed of applications and use cases. This talk provides an overview into the current state of machine learning/deep learning and crosses the bridge to some typical uses cases, which can be run on the mobile handset. Dedicated NN hardware will shift the scenario even further. Highly specialized and dedicated NN hardware will allow for more and more complex local models running on the handset - without the need to call back home to let the model run in the cloud.