Summary: Logistic Regression as a Neural Network

Logistic regression can be thought of as a one-layer neural network. It is a binary classification method that can be modelled as a function that takes in any number of inputs and constrains the output to be between 0 and 1. This means that the probability that y = 0 given inputs w and x is (1 – y_hat).

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Logistic regression as a neural network

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