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

[Shantnu-singh]

Is there an existing issue for this?

• I have searched the existing issues

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.

Benefits

No response

Add ScreenShots

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Priority

High

Record

• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I have starred the repository

[github-actions]

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!

[github-actions]

Hello @Shantnu-singh! Your issue #3829 has been closed. Thank you for your contribution!