Snapdragon Neural Processing Engine :: Remember, remember, the velvet November


node:	Snapdragon Neural Processing Engine
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parent:	Toolkits
owner:	ulkas
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created:	27.07.2017 - 10:32:06
updated:	27.07.2017 - 10:34:08

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Android and Linux runtimes for neural network model execution
Acceleration support for Qualcomm Hexagon™ DSPs, Qualcomm Adreno™ GPUs and Qualcomm Kryo™, CPUs2
Support for models in Caffe, Caffe2 and TensorFlow formats3
APIs for controlling loading, execution and scheduling on the runtimes
Desktop tools for model conversion
Performance benchmark for bottleneck identification
Sample code and tutorials
HTML Documentation

https://developer.qualcomm.com/software/snapdragon-neural-processing-engine

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Mobile chip maker Qualcomm wants to enable deep learning-based software development on all kinds of devices, which is why it created the Neural Processing Engine (NPE) for its Snapdragon-series mobile processors. The NPE software development kit is now available to all via the Qualcomm Developer Network, which marks the first public release of the SDK, and opens up a lot of potential for AI computing on a range of devices, including mobile phones, in-car platforms and more. The purpose of the framework is to make possible UX implementations like style transfers and filters (basically what Snapchat and Facebook do with their mobile app cameras) with more accurate applications on user photos, as well as other functions better handled by deep learning algorithms, like scene detection, facial recognition, object tracking and avoidance, as well as natural language processing. Basically anything you'd normally route to powerful cloud servers for advanced process, but done locally on device instead.