革命性的Deep Learning，深度学习十大应用！

许多人写了关于深度学习将如何接管世界，以及为什么它很重要；我无法一一回应他们。 使用深度学习最让我感觉成为一个魔术师的事。最近我清楚地看到，每一个伟大的软件将在未来3年内由深度学习驱动发展。 然而，深度学习仍不是最主流，所以我想分享一些非常有才华的贡献者的工作，希望能够使深度学习离大家更接近一点。

1 提高图片像素 Stuck with a low-resolution photo? Deep learning can predict what the higher-resolution photo might look like, and add missing details

…it’s equally impressive for anime art

2 模仿人类语音阅读 Deep learning has enabled a text-to-speech system that is almostindistinguishable from human voice. Think of the possibilities!

https://deepmind.com/blog/wavenet-generative-model-raw-audio/ https://soundcloud.com/oliver-cameron-330659812/wavenet-sample-2

3 创作经典音乐 Deep learning can compose classical music that you’d believe to be created by a human

https://soundcloud.com/oliver-cameron-330659812/wavenet-sample-1

4 模仿画家的画风作画 Deep learning can replicate the style of your favorite painter with the image of your choice

这种DL技术的作画论文在这里.

5 使用深度学习创作字体 Deep learning can even generate fonts!

6 深度学习修补图片缺失部分 Deep learning can auto-fill missing parts of an image, by predicting what should be in that space

这里是人脸缺失部分修补

7 让机器人训练成直立行走 Deep learning can train a robot to walk like a human

Without being taught, the deep learning robot rises from the floor to a standing position. Image courtesy of the University of Washington

或者像人一样拿东西…or train a robot to grasp objects like a human

https://youtu.be/H4V6NZLNu-c

8 为图片自动取一个标题 Deep learning can caption an image, just like a human would

9 想要画一幅漂亮的风景画？Want to sketch a beautiful landscape but can’t draw? Don’t worry, deep learning can take it from here!

10 让深度学习来开车！Best of all (at least to me), you can train a deep neural network to steer a car, just like a human

…it even turns out Grand Theft Auto is a great simulation environment for training a self-driving car

https://youtu.be/DeE8tntTSPI

为什么我确信深度学习是革命性的？ 如果你仔细看看机器正在执行的上述任务，你会看到一个共同的特性：创造力。 机器，虽然通过人类给予的数据进行训练，能够展示接近真实艺术的性格。

我们花了几十年的时间建设和优化机器，让其计算能力更为强大。 在接下来的十年中，我希望我们能够发现，当我们的软件创造性地思考时，人类将能够被赋予什么能力。

如需看动图gif，请点击「阅读原文」，大图杀猫记得开WIFI哟！