[Feature Request]: Adding Types of activation function in Artificial neural network (ANN) in Deep Learning docs #3829
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Improvements or additions to documentation
gssoc
GirlScript Summer of Code | Contributor
GSSOC'24
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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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Priority
High
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