Last year, when I was on a mission to "fix GANs" I had a tendency to focus only
on what the loss function is, and completely disregard the issue of how do we
actually find a minimum. Here is the paper that has finally challenged that
attitude:

* Mescheder…

A detailed analysis

Caveat: Some prior knowledge of CNNs is assumed for this post

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and q...

Tensorflow implementation of paper "unsupervised image to image translation networks" - GitHub - leehomyc/Img2Img-Translation-Networks: Tensorflow implementation of paper &quo...

Привет, Хабр! Мы продолжаем нашу традицию и снова выпускаем ежемесячный набор рецензий на научные статьи от членов сообщества Open Data Science из канала #article_essense. Хотите получать их раньше...

This entry is a non-exhaustive introduction on how to create interactive content directly from your Jupyter notebook.

Using D3, this post visually explores activation functions, a fundamental component of neural networks.

tensorlayer - TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

В будущем, как нам кажется, люди будут взаимодействовать с устройствами с помощью голоса. Уже сейчас приложения распознают точные голосовые команды, заложенные в них разработчиками, но с развитием...

Email list Churn and how we started "playing" with RNN to predict it.

An introduction to the Dirichlet process and its applications

Curated list of awesome GAN applications and demo. Contribute to nashory/gans-awesome-applications development by creating an account on GitHub.

Yuan Huang is an Insight alum from the Summer 2017 session of Insight Data Science in New York. Yuan is completing a PhD in Computational…