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What can deep learning do for you?千百万官方网站代理检测

Mobile phones and tablets are now 千百万官方网站网站网站 to take advantage of the awesome opportunities offered by machine learning and artificial intelligence.

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  • detect objects, faces & landmarks on photos, videos, or live camera
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  • extract meaning from text
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  • speech recognition and synthesis
  • translate speech in real-time
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千百万官方网站安卓地址 There’s no limit to what’s possible when you combine the raw power of deep learning with the phone’s camera and its many other sensors.

Deep learning turns your mobile into a 千百万官方网站注册地址.

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Companies such as Google, Amazon, and Microsoft offer deep learning services in the cloud — but there are many advantages to doing deep learning 千百万官方网站地址官网, for a more seamless user experience.

Getting deep learning to work well on mobile comes with its own set of challenges:

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  • Training on the device is currently impractical for most applications. To keep the model up-to-date, you need to have some way to 千百万官方网站安卓地址 and then distribute the new weights to the user’s device.
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Making deep learning models work well on iOS devices is what I specialize in. 千百万官方网站代理检测 if you need advice on how to add deep learning to your app.

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Machine Learning by Tutorials, Core ML Survival Guide

Machine Learning by Tutorials explains how to get started with machine learning for people who are already familiar with iOS development.

Core ML Survival Guide is for developers who are running into problems getting their models to work with Core ML — or who want to do advanced things that are not well documented elsewhere.

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The MobileNet neural network architecture is designed to run efficiently on mobile devices. It’s a fast, accurate, and powerful feature extractor. I recommend using it over larger and slower architectures such as VGG-16, ResNet, and Inception.

Because MobileNet-based models are becoming ever more popular, I’ve created a source code library for iOS and macOS that has Metal-accelerated implementations of 千百万官方网站地址软件.

MobileNetV2 object detector on live camera feed

This library makes it easy to add MobileNet-based neural networks into your apps, for tasks such as:

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Because this library is written to take advantage of Metal, it is 千百万官方网站地址软件 and TensorFlow Lite!

If you’re interested in using MobileNet in your app or as the backbone for a larger model, this library is the best way to get started. Click to learn more

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Matthijs Hollemans

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Programming is the most fun for me when it’s difficult. That’s why I specialize in low-level coding, GPU optimization, and algorithms. My current research interest is 千百万官方网站, and I’d love to help you add deep learning into your app. Send me an email