In this episode we go beyond classical machine learning into the fascinating world of neural networks. We discuss how neural networks, inspired by the human brain, revolutionize our ability to process unstructured data like images and text. Using a detailed example of handwriting digit recognition, we break down how neural networks learn patterns, make predictions, and transform raw data into valuable insights. Tune in to explore the magic of hidden layers, the significance of activation functions, and the trade-offs between model power and interpretability in modern AI systems.
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
#2426 - Cameron Hanes & Adam Greentree
16 Dec 2025
The Joe Rogan Experience
#487 β Irving Finkel: Deciphering Secrets of Ancient Civilizations & Flood Myths
12 Dec 2025
Lex Fridman Podcast
#2425 - Ethan Hawke
11 Dec 2025
The Joe Rogan Experience
SpaceX Said to Pursue 2026 IPO
10 Dec 2025
Bloomberg Tech
Donβt Call It a Comeback
10 Dec 2025
Motley Fool Money
Japan Claims AGI, Pentagon Adopts Gemini, and MIT Designs New Medicines
10 Dec 2025
The Daily AI Show