Why does the perceptron converge when the dataset is linearly separable?
In the Perceptron algorithm, why do ws use y - hat{y} instead of hat{y} - y?
Why is ADALINE called a full-batch gradient descent?
The relationship between Logit function and Z = WX+b
How to get logistic sigmoid function from logit function?
Why do we use 0.5 as threshold of predition in ADALINE algorithm?
Upcoming (p.87: Why does MSE not become 0 even if all samples are perfectly classified?)
The difference between row-wise and column-wise preprocessing