10 Even Cooler Deep Learning Applications | Two Minute Papers #59

dear fellow Scholars this is 2minute papers with Caro this is the third episode in our series of deep learning applications I have mixed in some recurrent neural networks for your and honestly my own enjoyment I think this series of applications shows what an amazingly versatile tool we have been blessed with deep learning and I know you fellow Scholars have been quite excited for this one let's get started this piece of work accomplishes geolocation for photographs this means that we toss in a photograph and it tells us exactly where it was made super resolution is a Hot Topic where we show a course heavily pixelated image to a system and it tries to guess what it depicts and increase the resolution of it if we have a tool that accomplishes this we can zoom into images way more than the number of megapixels of our camera would allow it is really cool to see that deep learning has also made an appearance in this subfield this handl little tool visualizes the learning process in a neural network with the classical forward and backward propagation steps this recurrent neural network continues our sentences in a way that kind of makes sense well kind of human in the loop techniques seek to create a bidirectional connection between humans and machine learning techniques so they can both learned from each other I think it definitely is an interesting Direction at first deep Minds alphago also learned the basics of go from amateurs and then took off like a Hermit to learn on its own and came back with guns blazing we usually have at least one remarkably rigorous and scientific application of deep learning in every collection episode this time I'd like to show you this marvelous little program that suggests emojis for your images it does so well that nowadays even computer algorithms are more hip than I am this application is akin to the previous one we have seen about super resolution here we see beautiful high resolution images of digits created from these tiny extremely pixelated inputs Netflix is an online video streaming service the Netflix prize was a competition where participants wrote progress to estimate how a user would enjoy a given set of movies based on this user's previous preferences the competition Was Won by an ensemble algorithm which is essentially a mixture of many existing techniques and by many I mean 107 it is not a surprise that some contemptuously use the term Abomination instead of Ensemble because of their egregious complexity in this blog post a simple neural network implementation is described that achieves quite decent results and the core of the solution fits in no more than 20 lines of code the code has been written using caros which also happens to be one of my favorite deep learning libraries wholeheartedly recommended for everyone who likes to code and a big shout out to frano the developer of the mentioned Library convolutional neural networks also have started curating works of art by assigning a score to how aesthetic they are oh sorry Leonardo earlier we talked about adversarial techniques that add a very specific type of noise to images to completely destroy the accuracy of previously existing image classification programs the arms race has officially started and new techniques are popping up to prevent this Behavior if you find some novel applications of deep learning just send a link my way in the comment section thanks for watching and for your generous support and I'll see you next time