Every once in a while, a paper comes out claiming to get competitive results using only some form of greedy layer-wise training
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For the record, DL works because of joint feature learning. You can't get anywhere close to competitive results without it, in some form
If you claim otherwise, do explain how your proposal overcomes the information loss problem, and provide overwhelming evidence. Think twice
