Multi-Layer Perceptron: Revision history

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    4 November 2024

    • curprev 15:4315:43, 4 November 2024핵톤 talk contribs 5,660 bytes +5,660 Created page with "A Multi-Layer Perceptron (MLP) is a type of artificial neural network with multiple layers of neurons, including one or more hidden layers between the input and output layers. Unlike single-layer '''perceptrons''', which can only solve linearly separable problems, MLPs can model complex, non-linear relationships, making them suitable for a wide range of machine learning tasks. ==Structure of a Multi-Layer Perceptron== An MLP consists of three main types of..." Tag: Visual edit