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Activation functions in Neural Networks
Activation functions in Neural Networks
An article on GeeksforGeeks that explains activation functions in neural networks. These functions help the model understand complex patterns in data by deciding which information to pass forward. The article covers popular activation functions like Sigmoid, ReLU, and Tanh, and explains how each one works, where it’s used, and what its advantages and disadvantages are. It’s a great read if you’re learning about how deep learning models make decisions.
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