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Published online by Cambridge University Press: 01 February 2024
As mentioned in the previous chapter, the perceptron does not perform smooth updates during training, which may slow down learning, or cause it to miss good solutions entirely in real-world situations. In this chapter, we will discuss logistic regression, a machine learning algorithm that elegantly addresses this problem. We also extend the vanilla logistic regression, which was designed for binary classification, to handle multiclass classification. Through logistic regression, we introduce the concept of cost function (i.e., the function we aim to minimize during training), and gradient descent, the algorithm that implements this minimization procedure.
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