9 Best Articles on Deep Learning
The most useful articles on deep learning from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.
Top 5 Deep Learning Articles
At a glance: these are the articles that have been most read, shared, and saved on deep learning by Refind users in 2023 so far.
What is ...?
New to #deep learning? These articles make an excellent introduction.
Introduction: Deep Learning for Chatbots
Many companies hope to develop bots to have natural conversations indistinguishable from human ones by using NLP & Deep Learning techniques to make it possible.
How to ...?
How to build a deep learning model in 15 minutes
An open source framework for configuring, building, deploying and maintaining deep learning models in Python.
Short Articles
Short on time? Check out these useful short articles on deep learning—all under 10 minutes.
Is DeepMind’s new reinforcement learning system a step toward general AI?
DeepMind has released a new paper that shows impressive advances in reinforcement learning. How far does it bring us toward general AI?
«The key advantage of reinforcement learning is its ability to develop behavior by taking actions and getting feedback, similar to the way humans and animals learn by interacting with their environment»
Want to know how Deep Learning works? Here’s a quick guide for everyone.
Artificial Intelligence (AI) and Machine Learning (ML) are some of the hottest topics right now.
Deep Learning Poised to ‘Blow Up’ Famed Fluid Equations
For centuries, mathematicians have tried to prove that Euler’s fluid equations can produce nonsensical answers. A new approach to machine learning has researchers betting that “blowup” is near.
Deep Learning is Revolutionary
10 reasons why deep learning is living up to the hype
Where We See Shapes, AI Sees Textures
To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes.
Long Articles
These are some of the most-read long-form articles on deep learning.
10 years later, deep learning ‘revolution’ rages on, say AI pioneers Hinton, LeCun and Li
On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.
How a simple mix of object-oriented programming can sharpen your deep learning prototype
By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value DL task.
Publications
We monitor hundreds of publications, blogs, newsletters, and news sources in Deep Learning, including:
Quanta Magazine
Big ideas in science and math. Because you want to know more. Launched by @SimonsFdn. 2022 Pulitzer Prize in Explanatory Reporting. http://quantamagazine.org
Werner Vogels
CTO @ Amazon
Singularity Hub
Chronicling technological progress in AI, robotics, health, & exponential tech. By @singularityu.
Tomasz Tunguz
Venture capitalist at @theoryvc. Student of Startups. Author of Winning with Data http://amzn.to/1UQAMSr. Author of http://tomtunguz.com
MIT Technology Review
Our in-depth reporting on innovation reveals and explains what’s really happening now to help you know what’s coming next. http://technologyreview.com/newsletters
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Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.
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We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
Which sources does Refind monitor on deep learning?
We monitor hundreds of sources on deep learning, including Quanta Magazine, Werner Vogels, Singularity Hub, Tomasz Tunguz, MIT Technology Review, and many more.
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