Perceptron: Revision history

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    5 November 2024

    • curprev 05:3605:36, 5 November 2024‎ 핵톤 talk contribs‎ 4,388 bytes +4,388‎ Created page with "The Perceptron is a type of artificial neuron and one of the simplest models in machine learning, used for binary classification tasks. It is a linear classifier that learns to separate data into two classes by finding an optimal hyperplane. Originally developed in the 1950s, the perceptron laid the foundation for more complex neural network architectures. ==Structure of a Perceptron== A perceptron consists of several key components: *'''Inputs''': The feature values fro..." Tag: Visual edit
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