[Tensorflow] **Android Meets TensorFlow

TensorFlow Dev Summit 2017

From: Android Meets TensorFlow: How to Accelerate Your App with AI (Google I/O '17)

Start from 12:47 / 39:07

关于布置：

 

关于优化：内存带宽是瓶颈，计算反而次要些。

优化的几个角度：such as Inception v3, is 93MB --> 24MB

压缩的一种方式：

一个例子：自动分类黄瓜，使用草莓π。

一个例子：握手机的行为识别。

From: On-device machine learning: TensorFlow on Android (Google Cloud Next '17)

From: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android/

很好的官方例子，以及例子的演示：

Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)

1. TF Classify: Uses the Google Inception model to classify camera frames in real-time, displaying the top results in an overlay on the camera image.
2. TF Detect: Demonstrates an SSD-Mobilenet model trained using the Tensorflow Object Detection API introduced in Speed/accuracy trade-offs for modern convolutional object detectors to localize and track objects (from 80 categories) in the camera preview in real-time.
3. TF Stylize: Uses a model based on A Learned Representation For Artistic Style to restyle the camera preview image to that of a number of different artists.
4. TF Speech: Runs a simple speech recognition model built by the audio training tutorial. Listens for a small set of words, and highlights them in the UI when they are recognized.

高通芯片：Qualcomm Snapdragon 820 Processor featuring the Hexagon DSP