In this post, we give a comprehensive introduction to Generative Adversarial Networks (GANs) and provide you with tricks that would improve your results.

Looking for the Text Top Model Aug 12th, 2017 4:49 pm TL;DR: I tested a bunch of neural network architectures plus SVM + NB on several text …

At the time when I wrote my last blog post (check it out if you didn't read it!) I was quite happy with the state of my Summer of HPC project Tracing in 4D data. I had completed the implementation of a 3D version of the object tracking algorithm Medianflow…

Здравствуйте, коллеги. В конце 1960-ых годов прошлого века Ричард Фейнман прочитал в Калтехе курс лекций по общей физике. Фейнман согласился прочитать свой курс ровно один раз. Университет понимал,...

Привет, Хабр! Меня зовут Женя. В начале карьеры я был Data Scientist, когда это еще не было мэйнстримом. Потом переключился на чистую T-SQL разработку, которая...

Recurrent neural networks are a type of neural network where the outputs from previous time steps are fed as input to the current time step.

This creates a network graph or circuit diagram with cycles, which can make it difficult to understand how information…

pycadl - Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Chatbot in 200 lines of code using TensorLayer. Contribute to tensorlayer/seq2seq-chatbot development by creating an account on GitHub.

Возможности новой библиотеки машинного обучения Apache ML Grid В релиз Apache Ignite 2.0 вошла бета-версия библиотеки машинного обучения Apache Ignite Machine...

Статья предназначена, в первую очередь, для людей ранее не работавших с цветом. Она описывает те нюансы, интересные моменты и подводные камни, которые я узнал, к...

For lectures in English, check out this playlist https://bit.ly/2zY6Xe2

То же видео, но с улучшенным звуком https://youtu.be/OAy96yiWohk (Denis Cera, Oleg Butko)

В 1 лекции мы обсудим курс и попрактикуемся в первичном анализе данных с помощью библиотеки…

Deep recommender models using PyTorch. Contribute to maciejkula/spotlight development by creating an account on GitHub.

7 data articles handpicked by the Sicara team, just for you

First of a series of entries covering automated traffic pattern recognition in specific situations.

Community Curated NLP List. Contribute to alvations/awesome-community-curated-nlp development by creating an account on GitHub.

Natural Language Processing, or NLP for short, is the study of computational methods for working with speech and text data. The field is dominated by the statistical paradigm and machine learning methods are used for developing predictive models. In this…

The full code is available on Github. Word2vec is a very popular Natural Language Processing technique nowadays that uses a neural network to learn the vector representations of words called &#8220…

Natural Language Processing, or NLP, is a subfield of machine learning concerned with understanding speech and text data.

Statistical methods and statistical machine learning dominate the field and more recently deep learning methods have proven very effective…

Proximal Policy Optimization to solve MuJoCo and RoboSchool environments

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP - NVIDIA/OpenSeq2Seq

Read the post on our blog.