> Deep models are important because
without the extra “dimension” of depth/abstraction,
there is no way to construct “shortcuts” between random
variables that are separated by large amounts of time
with short-range interactions; 1D models will be doomed
to exponential decay.
From my non-professional perspective the above seems that it should have been very obvious - (and also that correlations between variables for natural languages would be better explained by multi-dimensional structure). That is if you told me that this were proved / formally supported as it is in this paper, my reaction would be a "that sounds like reasonable approximation" not - "that result sounds very surprising I must read the paper".
From my non-professional perspective the above seems that it should have been very obvious - (and also that correlations between variables for natural languages would be better explained by multi-dimensional structure). That is if you told me that this were proved / formally supported as it is in this paper, my reaction would be a "that sounds like reasonable approximation" not - "that result sounds very surprising I must read the paper".