10 More Cool Deep Learning Applications | Two Minute Papers #52

3:57

10 More Cool Deep Learning Applications | Two Minute Papers #52

Two Minute Papers 13.03.2016 105 844 просмотров 1 552 лайков

Machine-readable: Markdown · JSON API · Site index

Смотреть на YouTube

Поделиться Telegram VK Бот

Транскрипт Скачать .md

Анализ с AI

Описание видео

In this episode, we present another round of incredible deep learning applications! _________________________ 1. Colorization - http://tinyclouds.org/colorize/ 2. RNN Music on Bob Sturm's YouTube channel - https://www.youtube.com/watch?v=RaO4HpM07hE 3. Flow Machines by Sony - https://www.youtube.com/watch?v=buXqNqBFd6E 4. RNN Passwords - https://github.com/gehaxelt/RNN-Passwords 5. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding - http://arxiv.org/abs/1510.00149 6. Right Whale Kaggle Competition - http://felixlaumon.github.io/2015/01/08/kaggle-right-whale.html 7. Improving YouTube video thumbnails - http://youtube-eng.blogspot.hu/2015/10/improving-youtube-video-thumbnails-with_8.html 8. Celebrity super-resolution: https://github.com/mikesj-public/dcgan-autoencoder 9. Convolutional Neural Network visualization - http://scs.ryerson.ca/~aharley/vis/conv/ + Paper: http://scs.ryerson.ca/~aharley/vis/harley_vis_isvc15.pdf 10. DarkNet RNN writes in the style of George RR Martin - http://pjreddie.com/darknet/rnns-in-darknet/ Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz WE'D LIKE TO THANK OUR GENEROUS SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Vinay S. The thumbnail image background was created by Dan Ruscoe (CC BY 2.0) - https://flic.kr/p/deHtEb Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Twitter → https://twitter.com/karoly_zsolnai Web → https://cg.tuwien.ac.at/~zsolnai/

Оглавление (6 сегментов)

Intro

dear fellow scholars this is two minute papers with károly if I hear to all of you fellow scholars out there who are yearning for some more deep learning action like I do here goes the second package buckle up amazing applications await you as always links to every one of these works are available in the description box this convolutional neural network can learn how to colorize by looking at the same images both in color and black and white the first image is the black and white input the second is how the algorithm colorized it and the third is how the image originally looked like in color insanity

Music Generation

recurrent neural networks are able to learn and produce sequences of data and they are getting better and better at music generation nowadays people are experimenting with human aided music generation with pretty amazing results sony has also been working on such a

Leaked passwords

solution with spectacular results one can also run a network on a large database of leaked human passwords and try to crack new accounts building on that knowledge deep neural networks take a substantial amount of time to train and the final content of each of the neurons have to be stored which takes a lot of space new techniques are being explored to compress the information content of these networks there is another application where endangered whale species are recognized by convolutional neural networks some of them have a worldwide population of less than 500 and this is where machine learning steps in to try to save them

YouTube thumbnails

awesome YouTube has a huge database full of information on what kind of video thumbnails are the ones that people end up clicking on they use deep learning to automatically find and suggest the most appealing images for your videos there is also this crazy application where a network was trained on a huge data set with images of celebrities a low-quality image is given where the algorithm creates a higher resolution version building on this knowledge the leftmost images are the true high resolution images the second one is the grainy low resolution input and the third is the neural networks attempt to reconstruct the original

Neural Networks

this application takes your handwriting of a number and visualizes how a convolutional neural network understands and classifies it

Outro

apparently george RR martin is late with writing the next book of game of thrones but luckily we have recurrent neural networks that can generate text in his style an infinite amount so beware George winter is coming I mean the machines are coming it is truly amazing what these techniques are capable of and as machine learning is a remarkably fast-moving field new applications pop up pretty much every day I am quite enthused to do at least one more batch of these of course provided that you like this one let me know thanks for watching and for your generous support and I'll see you next time

Другие видео автора — Two Minute Papers

Ctrl+V

Экстракт Знаний в Telegram

Экстракты и дистилляты из лучших YouTube-каналов — сразу после публикации.

Подписаться

Лучшие методички за неделю — каждый понедельник