In neural networks, what is the purpose of the activation function?a)To introduce non-linearity into the network.b)To control the learning rate of the network.c)To initialize the weights of the network.d)To regularize the network parameters.
Question
In neural networks, what is the purpose of the activation function?a)To introduce non-linearity into the network.b)To control the learning rate of the network.c)To initialize the weights of the network.d)To regularize the network parameters.
Solution
The purpose of the activation function in neural networks is a) To introduce non-linearity into the network. The activation function is used to determine the output of neural network like yes or no. It maps the resulting values in between 0 to 1 or -1 to 1 etc. (depending upon the function). Without the activation function, the neural network would be only able to perform linear transformations. A linear equation is easy to solve but they are limited in their complexity, reducing the efficiency of the model. Non-linear functions, on the other hand, are more complex and can learn from the errors, update the predictions for y, and perform more complex tasks. Therefore, introducing non-linearity becomes crucial.
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