TDSM 11.11
From The Data Science Design Manual Wikia
If we have n dimensions, with features [math] x_1,x_2,...,x_n[/math] the logistic regression is a function of x as follow:
[math]f(x)=w_1x_1+...+w_nx_n[/math]
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.
Edit :
