AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
27min chapter
Sebastian Raschka: AI Education and Research
The Gradient: Perspectives on AI
Ordinal Regression and its Application to Neural Networks
This chapter explores the concept of ordinal regression, which is a classification problem with labels that have a natural order. The speaker discusses the challenges of quantifying arbitrary distances between different categories and the subjectivity of assigning exact numbers to these differences. They also explain how to transform a pre-trained deep neural network into an ordinal regression model using the binary extension framework.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode