Understanding Attention in Recurrent Neural Networks

Attention has become one of the hottest topics in deep learning. Let’s review its importance in recurrent neural networks.

Jesus Rodriguez
DataSeries

--

Source: https://www.fleetowner.com/industry-perspectives/ideaxchange/article/21122627/bringing-procurement-into-the-future-with-ai

I recently started a new newsletter focus on AI education. TheSequence is a no-BS( meaning no hype, no news etc) AI-focused newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. Please give it a try by subscribing below:

In 2017, the Google Brain team published the uber-famous paper “Attention is all You Need” which started the transformers, pre-trained model revolution. Before that paper, Google had been exploring attention-based models for a few years. Today, I would like to revisit an earlier Google paper from 2016 that was the first paper I read about the attention subject.

Attention is a cognitive ability that we rely on all the time. Just trying to read this article is a complicated task from the neuroscientific standpoint. At this time you are probably…

--

--

Jesus Rodriguez
DataSeries

CEO of IntoTheBlock, President of Faktory, President of NeuralFabric and founder of The Sequence , Lecturer at Columbia University, Wharton, Angel Investor...