本文深入探讨了感知器算法，一种用于监督学习的二元分类器，特别关注其作为线性分类器的角色，以及如何通过结合权重与特征向量进行预测。文章详细介绍了模型、策略和算法，包括随机梯度下降法。
WIKI
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).[1] It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor functioncombining a set of weights with the feature vector.
模型（model）
策略（strategy）
算法（algorithm）
随机梯度下降法
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