Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning

What this video covers

Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.

Why it surfaced in Hacker News

HN commenters recommended it for years as a simple, exciting overview of the deep learning wave.

Recommendation context

Short excerpts from positive mentions. Open the source to read the full Hacker News discussion.

“Here's a great talk by Andrew Ng of Stanford”

“he explains very simply how all this works for images and some examples about the audio case.”

“Check out this (awesome) talk”