Gradient boosting is attracting attention for its prediction speed & accuracy, especially with large & complex data. Learn about gradient boosting here.

For a while now I’ve been experimenting with ways to use generative neural nets to make portraits. Early experiments were based on deepdream-like approaches ...

Disclaimer:

A lecture introducing Variational Inference and Deep Learning. Adapted from a lecture I gave for Aaron Courville's Deep Learning course (IFT 6266).

Combining the world’s most popular sport with everyone’s favourite discrete probability distribution, this post predicts football matches using the Poisson distribution.

Пост про градиентный бустинг (Gradient Boosting), но не совсем обычный. Вместо текста прикрепляю pdf. Вопрос к читателям блога: будет ли полезно, если я подготовлю книжку в таком стиле по основным …

Coding and poker, mostly.

CoreMLVisionDJKhaled - Check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs

FAIR researchers have demonstrated that dialog agents with differing goals can negotiate with other bots or people and reach mutual decisions.

Posted by Andrew G. Howard, Senior Software Engineer and Menglong Zhu, Software Engineer(Cross-posted on the Google Open Source Blog)Deep learning ...

Переобучение (overfitting) — одна из проблем глубоких нейронных сетей (Deep Neural Networks, DNN), состоящая в следующем: модель хорошо объясняет только пример...

One step towards building safe AI systems is to remove the need for humans to
write goal functions, since using a simple proxy for a complex goal, or getting
the complex goal a bit wrong, can lead to undesirable and even dangerous
behavior [https://arxiv…

Сегодня, 15 июня, стартует чемпионат на платформе ML Boot Camp, посвященный проблемам здравоохранения и долголетия человечества. Чемпионат организован нами совм...

tensorflow - Computation using data flow graphs for scalable machine learning

relation-network - keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

odin-pytorch - Principled Detection of Out-of-Distribution Examples in Neural Networks

1/ What can’t deep learning do? Worth putting together a list of known failures to guide algorithmic development.

Indexing Faces on Instagram | I just wanted to build something cool using machine learning on a bunch of public images. But after showing it to a couple...