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[Feature Request]: Adding Types of activation function in Artificial neural network (ANN) in Deep Learning docs #3829

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Shantnu-singh opened this issue Jul 23, 2024 · 2 comments · Fixed by #3884
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CodeHarborHub - Thanks for creating an issue! documentation Improvements or additions to documentation gssoc GirlScript Summer of Code | Contributor GSSOC'24 GirlScript Summer of Code | Contributor level1 GirlScript Summer of Code | Contributor's Levels

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@Shantnu-singh
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Is there an existing issue for this?

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Feature Description

This feature will cover the mathematical formulations, properties, and practical applications of activation functions such as sigmoid, tanh, ReLU, Leaky ReLU, and softmax, along with visualizations and code snippets for implementation.

Use Case

This feature is beneficial for students, educators, and practitioners in the field of deep learning. Students can use the comprehensive documentation to understand the role and impact of different activation functions on neural network performance.

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High

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@Shantnu-singh Shantnu-singh added the enhancement New feature or request label Jul 23, 2024
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Hi @Shantnu-singh! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!

@ajay-dhangar ajay-dhangar added documentation Improvements or additions to documentation GSSOC'24 GirlScript Summer of Code | Contributor level1 GirlScript Summer of Code | Contributor's Levels gssoc GirlScript Summer of Code | Contributor labels Jul 24, 2024
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Hello @Shantnu-singh! Your issue #3829 has been closed. Thank you for your contribution!

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CodeHarborHub - Thanks for creating an issue! documentation Improvements or additions to documentation gssoc GirlScript Summer of Code | Contributor GSSOC'24 GirlScript Summer of Code | Contributor level1 GirlScript Summer of Code | Contributor's Levels
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