machine learning - Number of hidden layers in a neural network model -


would able explain me or point me resources of why (or situations where) more 1 hidden layer necessary or useful in neural network?

  1. that's more similar way brain works (which might not computational advantage, lot of people researching nn gain insight way mind works, rather solve real world problems.
  2. its easier achieve kinds of invariance using more layers. example, image classifier works regardless of in image object found, or object's size. see bouvrie, j. , l. rosasco, , t. poggio. "on invariance in hierarchical models". advances in neural information processing systems (nips) 22, 2009.

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