This video will show you how to implement a Capsule Network in TensorFlow. You will learn more about CapsNets, as well as tips & tricks on using TensorFlow more efficiently. Hope you like it!

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Word embeddings discussion is the topic being talked about by every natural language processing scientist for many-many years, so don’t…

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow - DongjunLee/text-cnn-tensorflow

Combining the best of both worlds : Depth and Interpretability

Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch

Our first video! Paper: Unsupervised Learning by Predicting Noise https://arxiv.org/abs/1704.05310 Authors: Piotr Bojanowski, Armand Joulin Institution: Face...

Beautiful visualizations of how language differs among document types. - JasonKessler/scattertext

smallvis - R package for dimensionality reduction of small datasets

color-accessibility-neural-network-deeplearnjs - 🍃 Using a Neural Network to improve web accessibility in JavaScript.

Different gradient descent optimization algorithms have been proposed in recent years but Adam is still most commonly used. This post discusses the most exciting highlights and most promising recent approaches that may shape the way we will optimize our models…

Text summarization is the task of creating a short, accurate, and fluent summary of an article.

A popular and free dataset for use in text summarization experiments with deep learning methods is the CNN News story dataset.

In this tutorial, you will…

The use of Deep Learning for NLP (Natural Language Processing) is widening and yielding amazing results. This overview covers some major advancements & recent trends.

The Curse of Dimensionality Big Data Analytics is a buzzword nowadays. Everyone is talking about it. Big data Analytics has found application in many sectors like medicine, politics, dating. Though big data analytics is used in bettering many aspects of human…

NIPS 2017: DNNs, Reniforecment Learning. Meta-Learning and much more

The purpose of the proposed tutorial is to introduce the emerging field of geometric deep learning on graphs and manifolds, overview existing solutions and applications for this class of problems, as well as key difficulties and future research directions…

Using Machine Learning to understand and leverage text.

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations" - facebookresearch/poincare-embeddings

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others. - art-DCGAN/README.md at master · robbiebarrat/art-DCGAN

A best practice for tensorflow project template architecture. - GitHub - MrGemy95/Tensorflow-Project-Template: A best practice for tensorflow project template architecture.