News and insights on Google platforms, tools, and events.

Distributed deep learning allows for internet scale dataset sizes, as exemplified by many huge enterprises. This blog post demonstrates how an organization of any size can leverage distributed deep learning on Spark thanks to the Qubole Data Service (QDS).

An introduction to neural networks learning

The article is about Manhattan LSTM (MaLSTM) — a Siamese deep network and its appliance to Kaggle’s Quora Pairs competition. I will do my…

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…