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KDnuggets Home » News » 2020 » May » Tutorials, Overviews » DeepMind’s Suggestions for Learning #AtHomeWithAI ( 20:n20 )

DeepMind’s Suggestions for Learning #AtHomeWithAI


DeepMind has been sharing resources for learning AI at home on their Twitter account. Check out a few of these suggestions here, and keep your eye on the #AtHomeWithAI hashtag for more.



Stuck at home? Looking to take advantage of this reality and expand your knowledge of AI while in quarantine or lockdown?

DeepMind has recently been sharing such resources via their Twitter account @DeepMind with the hashtag #AtHomeWithAI with the goal of helping you accomplish this very task. The campaign was introduced on Twitter last week:

For students and others interested in expanding their knowledge of AI during this period, we thought it might be helpful to ask our researchers what they consider to be the most impactful and insightful resources available to use #AtHomeWithAI

 

Figure

Source: DeepMind Twitter account (@DeepMind)

 

At the time of this article's publication, 3 Twitter threads of such resource suggestions have been shared by 3 DeepMind researchers and engineers; Feryal Behbahani (@feryalmp), Julian Schrittwieser (@Mononofu), and Kimberly Stachenfeld (@neuro_kim). The threads are linked below, and a selection of the suggested resources are highlighted.

I encourage you to check out some of these listed resources, the entire threads, follow @DeepMind on Twitter, and keep your eyes open for additional #AtHomeWithAI hashtags in the coming days and weeks (though, to be honest, I'm not sure how long the campaign is expected to continue).

 

Feryal Behbahani (@feryalmp)

 

Feryal Behbahani

Source: DeepMind Twitter account (@DeepMind)

 

View the entire thread of Feryal's suggestions here.

 

Julian Schrittwieser (@Mononofu)

 

Julian Schrittwieser

Source: DeepMind Twitter account (@DeepMind)

 

  • DeepMind's Haiku
    For those moving code to JAX, or those interested in a new tool for building neural networks, DeepMind's JAX-based neural network library is worth checking out and playing around with.

  • Neural Networks and Deep Learning
    This online book by Michael Nielsen has become a staple in neural networks learning resources since its publication, and is freely available to read online.

  • Introduction to Reinforcement Learning
    These are DeepMind's David Silver's lectures for reinforcement learning, and are one of the premier go-to video collections for an introduction to the topic.

View the entire thread of Julian's suggestions here.

 

Kimberly Stachenfeld (@neuro_kim)

 

Figure

Source: DeepMind Twitter account (@DeepMind)

 

View the entire thread of Kimberly's suggestions here.

 
Be sure to stay on the lookout for more #AtHomeWithAI resources from @DeepMind.

 
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