Objects Classify Machine Learning TensorFlow 1.1 Icon

Objects Classify Machine Learning TensorFlow

Amphan Libraries & Demo
3.3
15 Ratings
5K+
Downloads
1.1
version
Sep 20, 2017
release date
71.1 MB
file size
Free
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What's New

Version 1.1

About Objects Classify Machine Learning TensorFlow Android App

Uses the Google Inception model to classify camera frames in real-time, displaying the top results in an overlay on the camera image.

more info
http://androidcontrol.blogspot.com/2017/03/machine-learning-tensorflow-android-app.html


What is TensorFlow?
TensorFlow is open source machine learning library from Google. Computation code is written in C++, but programmers can write their TensorFlow software in either C++ or Python and implemented for CPUs ,GPUs or both.

In November 2015, Google announced and open sourced TensorFlow, its latest and greatest machine learning library. This is a big deal for three reasons:

1.Machine Learning expertise: Google is a dominant force in machine learning. Its prominence in search owes a lot to the strides it achieved in machine learning.
2.Scalable : the announcement noted that TensorFlow was initially designed for internal use and that it’s already in production for some live product features.
3.Ability to run on Mobile.

This last reason is the operating reason for this post since we’ll be focusing on Android. If you examine the tensorflow repo on GitHub, you’ll find a little tensorflow/examples/android directory. I’ll try to shed some light on the Android TensorFlow example and some of the things going on under the hood.

original code
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android

My Website
http://softpowergroup.net/

My Blog
https://androidcontrol.blogspot.com

email : [email protected]
[email protected]
Tel .6681-6452400 ( Thailand )

Google+ https://plus.google.com/+SoftpowergroupNetThailand/
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Other Information:

Requires Android:
Android 5.0+
Other Sources:

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This version of Objects Classify Machine Learning TensorFlow Android App comes with one universal variant which will work on all the Android devices.

Variant
2
(Sep 20, 2017)
Architecture
arm64-v8a armeabi-v7a x86 x86_64
Minimum OS
Android 5.0+
Screen DPI
nodpi (all screens)

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