Logistic regression uses the sigmoid function as an activation function and the logability function as a cost function. Activation function Odds ratio: the probability that a particular event will occur. $$\frac{P}{(1 - P)}$$ Where P is the probability that it is a positive sample, which refers to the probability that the target to be predicted will occur. The log function is usually defined by ..

This post is code from notbook, which won bronze medal in kaggle. If you are interested, please refer to the laptop. www.kaggle.com/choihanbin/predict-titanic-survival-by-adaptive-linear-neuron In the previous posting, we looked at perceptron. This time we're going to talk about Adalin, a slightly modified version of this. 2020/12/31 - [English/Machine learning algorithm] - [1] Try implementing ..

1. Mathematical definitions of artificial neurons Prior to implementing Perceptron, the mathematical definition of Perceptron must precede. The Perceptron we want to implement is simply a binary classification task with two classes. Defines the determination function by linear combination of the input value x and corresponding weight vector w. Linear combinations have organized concepts in diffe..