Common Sense as an Algorithmic Framework with Dileep George - #430
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Navigating Neural Networks: Schema vs. Deep Reinforcement Learning
This chapter explores the application of schema networks to text-based CAPTCHAs and their broader implications in real-world scenarios such as cluttered object identification. It contrasts traditional deep reinforcement learning with model-based approaches, emphasizing the need for adaptability and stability in evolving AI frameworks.
Transcript
Play full episode
