移动设备上的TensorFlow(Android，iOS，Windows Phone) [英] TensorFlow on Mobile Devices (Android, iOS, Windows Phone)
问题描述
我目前正在寻找不同的深度学习框架，专门用于训练和部署卷积神经网络.要求是，可以在具有GPU的普通PC上对其进行训练，但是随后必须在三个主要的移动操作系统(即Android，iOS和Windows Phone)上部署经过训练的模型.
I am currently looking on different deep learning frameworks out there, specifically to train and deploy convolutional neural networks. The requirements are, that it can be trained on a normal PC with a GPU, but then the trained model has to be deployed on the three main mobile operating systems, namely Android, iOS, and Windows Phone.
TensorFlow的简单性和出色的python界面吸引了我的注意.有一个适用于Android的示例应用程序( https://jalammar.github.io/Supercharge-android-apps-using-tensorflow/)，但是我不确定是否也可以在iOS和Windows Phone上部署它?如果没有，您是否可以推荐一个满足这些要求的替代框架?理想情况下，是否具有用于快速原型制作的简单脚本编写界面?
TensorFlow caught my eye, because of its simplicity and great python interface. There is an example application for Android (https://jalammar.github.io/Supercharging-android-apps-using-tensorflow/), but I am not sure if it can be also deployed on iOS and Windows Phone? If not, can you recommend an alternative framework, which would meet these requirements? Ideally with a simple scripting interface for fast prototyping?
非常感谢您的回答！
编辑:目前，我正在测试 Microsoft的CNTK .从源代码在Windows和Linux上构建可完美工作，可以以乐高积木"方式进行扩展，专有的NDL(网络描述语言)确实易于阅读和学习，并提供了足够的自由来构建许多不同的神经网络网络体系结构.执行引擎只是框架的一小部分，它可以读取NDL定义的NN模型以及经过训练的参数.我将继续向您发布有关ARM处理器移植过程的最新信息.
Currently I'm testing Microsoft's CNTK. Building on Windows and Linux from source works perfectly, it can be extended in a "Lego blocks" fashion, and the proprietary NDL (Network Description Language) is really easy to read and learn, and provides enough freedom to build a lot of different Neural Network architectures. The execution engine is only a small part of the framework, and it can read in the NN model defined by the NDL, as well as the trained parameters. I will keep the post updated, on how the porting process to ARM processors goes.
推荐答案
TensorFlow当前不支持iOS或Windows.这是跟踪它们的公开github问题:
TensorFlow currently doesn't support iOS or Windows. Here are the open github issues tracking them :
- iOS support
- Windows support
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