All Questions
2 questions
22
votes
3
answers
16k
views
From the Perceptron rule to Gradient Descent: How are Perceptrons with a sigmoid activation function different from Logistic Regression?
Essentially, my question is that in multilayer Perceptrons, perceptrons are used with a sigmoid activation function. So that in the update rule $\hat{y}$ is calculated as
$$\hat{y} = \frac{1}{1+\exp(...
user39663
5
votes
2
answers
3k
views
Formula for decision boundary of a classifier (in order to visualize it)
I'm confused on how to plot decision boundary for classifiers.
For example, i'm working with perceptron. So, the formula for decision boundary(if I understand this correctly) is
...
- 161