Global Bigdata Conference

Every once in a while a new algorithms comes and makes all others (in the same domain) seems kind of obsolete when it comes to the same domain. Will deep learning make that related algorithms (backpropagation NN, GMM, HMM, ...)? There are several reasons why there will always be a place for other algorithms to be better suited than deep learning in some applications. There are many cases where you need to have an understanding of the domain in order to have optimal results. While some proponents of Deep Learning describe their approach as being general-purpose, I don't think that will ever be true.