11 Twitter Accounts to follow for latest advancements in Deep Learning

Machine Learning, and especially Deep Learning is moving at a breakthrough pace. Every now and then, there is an advancement in the field much quicker than it was originally anticipated. There is also a lot of mobilization of human resources from other fields such as Software Developers, Statisticians, Mathematicians, and other fields into the field of Deep Learning. All this makes Deep Learning a hot field. It is very difficult to keep track of these advancements. In this blog post, I will talk about 11 Twitter accounts you can follow to keep yourself updated with the latest developments in the field of Deep Learning.

Yann LeCun

When it comes to Deep Learning, it is impossible to not talk about Yann Lecun. Along with Geoffrey Hinton and Yoshua Bengio, he is considered one of the godfathers of Deep Learning. The trio received the Turing award in 2018 for their work on Deep Learning. He is currently a professor at New York University, and Chief AI Scientist at Facebook. He is very active on Twitter tweeting about recent developments in the field of Deep Learning. The reason LeCun is the first person on this list is he is a strong proponent of new methods and techniques in the field. His position comes from the fact that his work, along with the work of other researchers in the field of Neural Networks was largely ignored during the first decade of the 2000s.

Twitter: @ylecun

Papers with Code

Papers with Code is a website that lists out groundbreaking papers in the field of Machine Learning with their code. Their website is a much-used tool by Machine Learning Engineers and Researchers. Their website also contains information about various commonly used datasets. If you want to be at the top of your game in Machine Learning and receive updates about the latest papers with their code, you have to follow Papers with Code.

Twitter: @paperswithcode

You can also follow Papers with Datasets to keep a track of the latest datasets in the field of Machine Learning.

Twitter: @paperswithdata

François Chollet

Francois Chollet is the creator of Keras, a Python library that provides a high-level interface for building Neural Networks. He is currently working as an AI Researcher at Google.

Twitter: @fchollet

Andrew Ng

In the field of Machine Learning, Andrew NG needs no introduction. He is a household name, at least in households where Machine Learning is a topic of discussion. The Stanford professor has previously worn many hats from academia to industry. He has also educated some of the pioneers in the field of Deep Learning such as Ian Goodfellow who is the creator of Generative Adversarial Networks(GANs).

Twitter: @AndrewYNg

Tensorflow

Tensorflow is an open-source library for Machine Learning, and Deep Learning by Google. They frequently tweets about changes to Tensorflow. But more importantly, they also tweet about their events and talks related to Machine Learning.

Twitter: @TensorFlow

Pytorch

When comes to implementing Neural Networks, how can we not talk about Pytorch? Pytorch is an open-source Machine Learning, and Deep Learning library by Facebook. As of today, it is the most used library for research in the field of Artificial Intelligence. Pytorch tweets about the Pytorch ecosystem and also tutorials about using Pytorch for different use cases.

Twitter: @PyTorch

Ian Goodfellow

Ian Goodfellow is the inventor of Generative Adversarial Networks(GANs). Its been many years and still the world is in awe of his creation. He currently works as an AI researcher at Apple, prior to which he was working as an AI researcher at Google. He is also the author of the Deep Learning Book. Ian regularly tweets about advancements in Deep Learning.

Twitter: @goodfellow_ian

Google AI

Google AI frequently talks about the advancements in Artificial Intelligence by Google.

Twitter: @GoogleAI

Facebook AI

Facebook AI talks about advances in Artificial Intelligence by Facebook.

Twitter: @facebookai

Aurélien Geron

Aurelien Geron is the author of the famous book- Hands on Machine Learning with Scikit-Learn and Tensorflow. The second edition of the book also included Keras and went by the title- Hands on Machine Learning with Scikit-Learn, Keras, and Tensorflow. He has also been the Product Manager of the Youtube Video Classification Algorithm.

Twitter: @aureliengeron

Deep Learning University

This website is also on Twitter. If you are not much active on Twitter, but would still like to receive the most important updates from the field of Machine Learning and Deep Learning, you should definitely follow us. We re-tweet about the major advancements in Machine Learning, Deep Learning, and other major technologies such as Quantum Computing. Furthermore, you will also receive information about our latest blogs and tutorials.

Twitter: @dl_university


You can check out my other posts-

Top 3 most used Pytorch Ecosystem Libraries you should Know about, click here.

Kaggle Launches 30 Days of ML Challenge for Machine Learning Beginners, click here.