They are effective because: - They use more parameters (and fewer computations per parameter.) - They are hierarchical (convolutions are apparently useful at

They are effective because: - They use more parameters (and fewer computations per parameter.) - They are hierarchical (convolutions are apparently useful at different levels of abstraction of data). - They are distributed (word2vec, thought-vectors). Not restricted to a small set of artificial classes such as parts-of-speech or parts of visual objects. - They are recurrent (RNN). etc.