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...

A TensorFlow Implementation of the Transformer: Attention Is All You Need - Kyubyong/transformer

Introduction:

Computer Science, Machine Learning, Programming, Art, Mathematics, Philosophy, and Short Fiction

Feeding Word2vec with tens of billions of items, what could possibly go wrong? Word2vec is an unsupervised algorithm which is able to represent words as vect...

Coupling nimble probabilistic models with neural architectures in Edward and Keras: "what worked and what didn't," a conceptual overview of random effects, and directions for further exploration.

Andrew Beam does a great job showing that small datasets are not off limits for current neural net methods. If you use the regularisation methods at hand – A...