1) I am curious about learning more about the statement: "Deep learning is a branch of machine learning algorithms based on learning multiple levels of representation. The multiple levels of representation corresponds to multiple levels of abstraction. " What evidence exists that the 'multiple levels of representation', which I understand to generally be multiple hidden layers of a neural network, actually correspond…
The whole presentation seems very hand-wavy, which I think is pretty much the level most motivational discussions of deep learning are at. I think the presentations by Yann Lecun and Leon Bottou are more interesting - and tend to involve more uncertainty and fewer pronouncements. see: https://news.ycombinator.com/item?id=9878047
Re: Theoretical Motivations for Deep Learning
#11This was fascinating and greatly informative. As you said, the authors were not afraid to show the real warts and bleeding edge, as a good scientist should. Thanks for the link.