EE-559 – DEEP LEARNING (SPRING 2019)

Deep learning course covering the main deep learning tools and theoretical results, with examples in the #PyTorch framework.

Taught by François Fleuret from École Polytechnique Fédérale de Lausanne, Switzerland.

Link: https://fleuret.org/ee559/

#DL #course #learnhardgopro

​​Neural Networks seem to follow a puzzlingly simple strategy to classify images

Interesting article on how actually #NN see images and what helps to distinct different classes.

Link: https://medium.com/bethgelab/neural-networks-seem-to-follow-a-puzzlingly-simple-strategy-to-classify-images-f4229317261f

#BagNet #ResNet #Dl #CV

What do you get if you apply Data Science to Boxing ?

Been waiting for a long time to post something like this. Meet: BoxingBot, a robot, which uses #CV and various motion detectors to evade punches. It also can track statistics of hits. This is how #DL and #ML can improve any area of our lives, including such classy and old school, like boxing.

​​Machine Learning-Powered Search Ranking of Airbnb Experiences.

Post on how #AirBnB DS team built custom search, including notes on how they approached problem and what business results they achived.

Link: https://medium.com/airbnb-engineering/machine-learning-powered-search-ranking-of-airbnb-experiences-110b4b1a0789

#ranking #search #reallifeds #production

Text-based game to feel yourself in not so distant future where real AI exists.

We all now, how DS and #AI products affect our life and how they actually influence our lifestyle. But in the future our relationship will become more tense. It is rather nice experience to play this game, not only because it reminds of old-school games, but also because it looks shookingly possible.

Link: https://www.theverge.com/2019/1/31/18140796/wake-word-algorithm-text-game-ai-artificial-intelligence

#interactive #Meta

A Lyapunov-based Approach to Safe Reinforcement Learning

Research that develops RL algorithms based on the concept of Lyapunov functions. This work represents a step toward applying RL to real-world problems.

ArXiV: https://arxiv.org/abs/1805.07708

#RL #Lyapunov #facebook

​​Why Financial Planning is Exciting… At Least for a Data Scientist

Great introduction into the finance world and what data scientist can lack diving into the topic.

Link: https://eng.uber.com/financial-planning-for-data-scientist/

#Financial #statistics #Uber

​​IBM aiming for 1000x improvement in AI computation over the next 10 years.

How DS / AI sphere will develop according to #IBM prediction.

Link: https://www.nextbigfuture.com/2019/02/ibm-investing-2-billion-in-an-ai-center-and-targets-1000-times-improvement-by-2029.html

​​TOWARDS FEDERATED LEARNING AT SCALE: SYSTEM DESIGN

Google published how they do #FederatedLearning at scale on tens of millions of mobile phones. This is about training model on decentralized data.

ArXiV: https://arxiv.org/pdf/1902.01046.pdf

#Google #Privacy

​​A Style-Based Generator Architecture for Generative Adversarial Networks

Code and pre-trained models for Style-GAN paper.

Github: https://github.com/NVlabs/stylegan
ArXiV: http://stylegan.xyz/paper

#GAN #CV #DL

​​Intuitive Visualization of Outlier Detection Methods

Mostly with Python Outlier Detection.

Link: https://www.kdnuggets.com/2019/02/outlier-detection-methods-cheat-sheet.html

#outliers #dataviz #visualization

​​Advanced Technologies for Detecting and Preventing Fraud at Uber

Uber’s article on how they detect and prevent fraud, analyzing GPS traces and usage patterns to identify suspicious behavior.

Link: https://eng.uber.com/advanced-technologies-detecting-preventing-fraud-uber/

#geodata #Uber #fraud #GPS

It’s better to be late, than to miss amazing opportunite to take part in not-official, but supervised online course of Deep Learning by CMU.

Course has already started, but you still can hop on the departing train to learn (or review) deep learning foundations and have some practice.

Content, quizes, practice exercises are in English.

This initiative was brought by editor of russian-speaking @powerofdata channel.

Link: https://dlcourse.ru
Original course page (with mention of aforementioned initiative): http://deeplearning.cs.cmu.edu

A new ELF OpenGo bot and analysis of historical Go games


Facebook AI Research shared new features & research results related to ELF OpenGo, including an updated model that was retrained from scratch. Bonus: Windows executable version of the bot, and a unique archive analyzing 87K professional Go games.

Link: https://ai.facebook.com/blog/open-sourcing-new-elf-opengo-bot-and-go-research/

#facebook #gogame

​​#Infographic : 8 ways AI is Transforming #healthcare

Application of #StyleGAN: site, which generates new people every page refresh.

Link: https://thispersondoesnotexist.com

OpenAI’s new model can generate surprisingly realistic fake news.

New model, called GPT-2 is an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training.

Link: https://blog.openai.com/better-language-models/
Paper: https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf

#OpenAI #NLP #fakenews #qa #DL

One of the most complete lists of #NN types.

Link: http://www.asimovinstitute.org/neural-network-zoo/

​​Object Detection Networks and Augmented Reality for Cellular Detection in Fluorescence Microscopy Acquisition and Analysis.

#DL automated microscopy with objection detection.

Paper: https://www.biorxiv.org/content/10.1101/544833v1

#AugmentedReality

​​SC-FEGAN: Face Editing Generative Adversarial Network with User’s Sketch and Color

New paper on architecture that lets you add/change: earrings, glasses, hair style, dimples, & more. Sketches are trasformed to the photo by #GAN network.

ArXiV: https://arxiv.org/pdf/1902.06838.pdf
Code: https://github.com/JoYoungjoo/SC-FEGAN