While scaling images in GIMP in the Quality section I was prompted to choose one of the following interpolations:
None
Linear
Cubic
Sinc(Lanczos3)
What is the difference between these and which o...

Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover…

Posted by Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, Research Scientists, Google Brain Team A few months ago, we introduce...

:fire::fire: Deep Learning Head Pose Estimation using PyTorch. - natanielruiz/deep-head-pose

Gradient based receptive field estimation for Convolutional Neural Networks - GitHub - shelfwise/receptivefield: Gradient based receptive field estimation for Convolutional Neural Networks

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