Deep Learning is Revolutionary
10 reasons why deep learning is living up to the hype
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.
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Here’s ten reasons why I think deep learning is living up to the hype…
…it’s equally impressive for anime art
2Deep learning has enabled a text-to-speech system that is almostindistinguishable from human voice. Think of the possibilities!
3Deep learning can compose classical music that you’d believe to be created by a human
4Deep learning can replicate the style of your favorite painter with the image of your choice
5Deep learning can even generate fonts!
6Deep learning can auto-fill missing parts of an image, by predicting what should be in that space
7Deep learning can train a robot to walk like a human
…or train a robot to grasp objects like a human
8Deep learning can caption an image, just like a human would
10Best of all (at least to me), you can train a deep neural network to steer a car, just like a human
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.
I’ve started a weekly email newsletter covering all things deep learning and self-driving cars: I call it Transmission, sign up today!
