Deep learning is all the rage these days, but what do you do when your data isn’t handwritten digits, or pictures of cats? Geospatial data comes with it’s own unique challenges—huge high dimensional datasets in weird file formats, irregular and often mismatched…

Panelists:
Max Welling
Ryan Adams
Jose Miguel Hernandez Lobato
Ian Goodfellow
Shakir Mohamed
Moderator: Neil Lawrence
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Bayesian Deep Learning Workshop
NIPS 2016
December 10, 2016 — Centre Convencions Internacional Barcelona, Barcelona, Spain

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The theory of social networks allows us to mathematically model and analyze the relationships between governments, organizations and…

Летом 2014-го мы с друзьями были на прогулке, и случилось историческое событие. Во время съемки видео, внезапно, iPhone 5C выпал с рук моей жены и разбился об бе...

Traditional antivirus can't keep pace with today's threats. Here's how one start-up is using machine learning to fight a better fight.

Today, thousands of scientists and engineers are applying machine learning to an extraordinarily broad range of domains, and over the last five decades, researchers have created literally thousands of machine learning algorithms. Traditionally an engineer…

Add a progress meter to your loops in a second. Contribute to noamraph/tqdm development by creating an account on GitHub.

We're going to predict customer churn using a clustering technique called the Gaussian Mixture Model! This is a probability distribution that consists of multiple Gaussian distributions, very cool. I also have something important but unrelated to say in the…

Generative Models are insanely cool! They help create never before seen data. We'll go over the mathematical difference between discriminative and generative models, talk about a few types, then dive into a basic one called Latent Dirichlet Allocation to…

Deep neural networks are the latest hot computing trend – but to most people they are still a bit of a mystery.

With the release of libraries like Google’s Tensorflow and the open source ConvNetJS, there’s never been a better time for developers to start…

Пару дней назад Дэвид Робинсон опубликовал на Stack Overflow статью с очень провокационным названием: Разработчики, использующие пробелы, зарабатывают больше ис...

In this lecture, I discuss all about deconvolutional layer, a.k.a fractionally strided layer or convolution transpose. I have broken down the theory into simple concepts for easy understanding.
References:
1) http://cv-tricks.com/image-segmentation/transpose…

Эта статья представляет собой адаптацию разделов 2 и 3 из главы 9 моей книги «Глубинное обучение с Python» (Manning Publications). Статья рассчитана на людей, у...

Технопарк Mail.ru Group, МГТУ им. Н.Э. Баумана.

Презентация курса "ПРОГРАММИРОВАНИЕ CUDA C/C++, АНАЛИЗ ИЗОБРАЖЕНИЙ И DEEP LEARNING"

Курс представляет Алексей Спасенов.

Цель курса — Обучение программированию GPU в рамках CUDA C/C++. Знакомство с важными…