Why do neural networks work so well?
Why do neural networks work so well? I understand all the computational steps of training a neural network with gradient descent using forwardprop and backprop, but I'm trying to wrap my head around why they work so much better than logistic regression. For now all I can think of is: A) the neural network can learn it's own parameters B) there are many more weights than simple logistic regression thus allowing for more complex hypotheses Can someone explain why a neural network works so well in general? I am a relative beginner. "work so well" is a subjective judgment. – Don Reba Jul 26 '16 at 16:53 that's true, what I meant is why do they work better than logistic regression? – Danny Liu Jul 26 '16 at 16:54 ...