10 Reasons Why Deep Learning is Living Up to the Hype

This column is by Oliver Cameron, VP – Engineering & Product, Udacity

Many have written about how deep learning is taking over the world and why that is important; I cannot echo them enough. Playing with deep learning is the closest I’ve ever felt to being a magician, and it’s become clear to me that every (great) piece of software will be powered by deep learning within the next ~3 years. However, deep learning isn’t mainstream yet, so I thought I’d share work by some very talented contributors, in the hopes to bring it just that little bit closer.

Here’re ten reasons why I think deep learning is living up to the hype…

1. 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. Deep learning has enabled a text-to-speech system that is almost indistinguishable from human voice. Think of the possibilities!

3. Deep learning can compose classical music that you’d believe to be created by a human

4. Deep learning can replicate the style of your favourite painter with the image of your choice

5. Deep learning can even generate fonts!

6. Deep learning can auto-fill missing parts of an image, by predicting what should be in that space

7. 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

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

…or train a robot to grasp objects like a human
8. Deep learning can caption an image, just like a human would

image recognition

9. Want to sketch a beautiful landscape but can’t draw? Don’t worry, deep learning can take it from here!


10.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

Why am I so sure that deep learning is revolutionary? If you look closely at the above tasks that the machine is performing, you’ll see a common thread: creativity. A machine, albeit trained with human data, is able to demonstrate almost artistic traits.

We’ve spent decades building and refining machines to be computationally powerful. In the next decade I hope we discover what the human race will be empowered to do when our software thinks creatively.

This is a curated post. The statements, opinions and data contained in these publications are solely those of the individual authors and contributors and not of iamwire or its editor(s). This article was originally published by the author here.

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