by Stephen Ibaraki, Canadian IT Managers Blog
What are some controversies in your field and why?
“….Deep learning is very exciting and one of the confusions in the discipline is that the term ‘deep learning’ encompasses really two ideas. The first idea is called Supervised Learning in which if you have a lot of labeled data, these algorithms are fantastic at soaking up the labels to make accurate predictions….But there’s a second, not really unrelated body of ideas that also goes by the term deep learning that is very different, which is: ‘can you get a piece of software to watch YouTube or read text on the internet or listen to audio for hours on end and without you telling it anything or tagging or labeling any data and have it figure it out for itself?’….I think the second unsupervised learning, learning from unlabeled or untagged data is maybe most human-like. I think most humans learn primarily from unlabeled data and I think that this unsupervised learning idea has tremendous potential for letting us make a lot of progress in machine perception….”
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