Translations:Neural Networks/17/en: Difference between revisions

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    The activation function introduces nonlinearity; without it, a multi-layer network would collapse to a single linear transformation. Common choices include:
    The {{Term|activation function}} introduces {{Term|activation function|nonlinearity}}; without it, a multi-layer network would collapse to a single linear transformation. Common choices include:

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    Message definition (Neural Networks)
    The {{Term|activation function}} introduces {{Term|activation function|nonlinearity}}; without it, a multi-layer network would collapse to a single linear transformation. Common choices include:

    The activation function introduces nonlinearity; without it, a multi-layer network would collapse to a single linear transformation. Common choices include:

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