1) It's not. It's just a buzz word that people are going to use to separate the current (2006+) research from older research concerning neural networks. This is to draw a clear (and potentially self serving?) distinction between old neural networks that were discredited due to their lack of results vs current research that produces much much better results. So, it's neural networks rebranded. Oh my.
2) "traditional" neural networks and what people are using now are very different--mostly because what people are doing now actually works. Deep learning refers to deep neural networks, which take more traditional neural networks and stack them on top of each other to form a hierarchy of representations that ends up being effective for all kinds of stuff. Not that deep neural networks are a new concept--the newness is more that this is now practical rather than theoretical.
So, deep learning is like 20% bullshit, 80% the real deal. Still lots of work to be done, but I think "deep learning" is a nice buzzword to describe the current state of the art as far as neural networks go. It's all neural networks--but this time it's different, haha.
1) It's not. It's just a buzz word that people are going to use to separate the current (2006+) research from older research concerning neural networks. This is to draw a clear (and potentially self serving?) distinction between old neural networks that were discredited due to their lack of results vs current research that produces much much better results. So, it's neural networks rebranded. Oh my.
2) "traditional" neural networks and what people are using now are very different--mostly because what people are doing now actually works. Deep learning refers to deep neural networks, which take more traditional neural networks and stack them on top of each other to form a hierarchy of representations that ends up being effective for all kinds of stuff. Not that deep neural networks are a new concept--the newness is more that this is now practical rather than theoretical.
So, deep learning is like 20% bullshit, 80% the real deal. Still lots of work to be done, but I think "deep learning" is a nice buzzword to describe the current state of the art as far as neural networks go. It's all neural networks--but this time it's different, haha.