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Broad Architecture Coverage: It covers everything from simple Perceptrons and Radial Basis Function (RBF) networks to more complex Recurrent Neural Networks (RNNs) and Kohonen’s Self-Organizing Maps. Key Topics Covered in the Book neural networks a classroom approach by satish kumarpdf best

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2.2 Activation Functions (as covered in Kumar)

• Step function (binary)
• Sigmoid: ( f(net) = \frac11 + e^-a \cdot net )
• Tanh, ReLU (briefly introduced)