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My understanding is that the biggest advantage between traditional machine learning and neural networks is that neural networks are useful when features either
by Salgat 4y ago
My understanding is that the biggest advantage between traditional machine learning and neural networks is that neural networks are useful when features either need to be generated or are poorly understood (such as a binary blob of an image or sound sample). So for data that is already neatly organized and labeled in a spreadsheet, DL loses its main advantage.
- hackernewds 4y agoHow do you refer to traditional ML, DL and neutral networks in this context? Realize they are rather nebulously defined IRL
- Salgat 4y agoDeep Learning is just Neural networks with more than one hidden layer, so in this case I refer to NN/DL grouped together versus everything else.