TDSM 11.11
From The Data Science Design Manual Wikia
Revision as of 07:55, 13 December 2017 by Selina Deep Kaur (talk | contribs)
If we have n dimensions, with features x1,x2,...,xn the logistic regression is a function of x as follow:
f(x)=w1x1+...+wnxn
in neural network if we define a network with n inputs ,no hidden layer and one output, the result will be the weighted sum of the inputs in the output and this is the same as logistic regression.