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README.md

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@@ -79,7 +79,8 @@ Used in neurons to introduce non-linearity, helping the model solve complex prob
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It squashes the input into a range between 0 and 1.
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**Sigmoid Activation Function** :
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<img src="images\sigmoid.png" alt="Sigmoid formula" title="Sigmoid formula pic">
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<img src="images\sigmoid.png" alt="Sigmoid formula" title="Sigmoid formula pic">
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- Explains how the sigmoid function outputs values between 0 and 1, making it suitable for binary classification.
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**Implementation**:

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