
DW
Daniel Whitenack and Chris Benson
· 46 Minutes
PodcastPractical AI
Visualizing and understanding RNNs
Listen
Andreas Madsen, a freelance ML/AI engineer and Distill.pub author, joins us to discuss his work visualizing neural networks and recurrent neural units. Andreas discusses various neural unites, RNNs in general, and the “why” of neural network visualization. He also gives us his perspective on ML/AI freelancing and moving from web development to AI research.
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Featuring:
- Andreas Madsen – GitHub, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- Distill.pub by Andreas
- Taylor approximation and other mathematics related to neural networks
Books
- “Programming Collective Intelligence” by Toby Segaran
Upcoming Events:
- Register for upcoming webinars here!
Original source
This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.
Read the full story on share.transistor.fm
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