🔸What Is the Role of Activation Functions in a Neural Network?🔸
♦️At the most basic level, an activation function decideswhether a neuron should be fired or not. It accepts the weighted sum of the inputs and bias as input to any activation function. Step function, Sigmoid, ReLU, Tanh, and Softmax are examples of activation functions.♦️
🔸What Is the Role of Activation Functions in a Neural Network?🔸
♦️At the most basic level, an activation function decideswhether a neuron should be fired or not. It accepts the weighted sum of the inputs and bias as input to any activation function. Step function, Sigmoid, ReLU, Tanh, and Softmax are examples of activation functions.♦️
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