Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning
Google TechTalks · 9 HN recommendations
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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 HN recommends it: HN commenters recommended it for years as a simple, exciting overview of the deep learning wave.
“he explains very simply how all this works for images and some examples about the audio case.” Read on HN ↗