About this episode
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.
Sponsors:
- DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog.
- Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks.
- strongDM – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require.
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Featuring:
- Andreas Madsen – GitHub, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
Books
Upcoming Events:
- Register for upcoming webinars here!
Get every episode summarized
Each time Practical AI publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Practical AI
Less about Models; More about Architecture
Practical AI
Building the Foundation for the Agentic AI Era
Practical AI
AI Proficiency: From Users to Builders
Practical AI
Models, Harnesses, and Multi-Agent Systems
Practical AI