What is the purpose of the bias term in a neural network?Review LaterTo provide an additional regularization termTo offset any imbalance in the target variableTo improve the interpretability of the modelTo introduce flexibility in the decision boundary
Question
What is the purpose of the bias term in a neural network?Review LaterTo provide an additional regularization termTo offset any imbalance in the target variableTo improve the interpretability of the modelTo introduce flexibility in the decision boundary
Solution
The purpose of the bias term in a neural network is to introduce flexibility in the decision boundary.
Here's a step-by-step explanation:
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In a neural network, each neuron has a bias term associated with it. This bias term is added to the product of the inputs and their corresponding weights.
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The purpose of this bias term is to shift the activation function to the left or right, which can make the neuron more flexible in fitting the data.
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Without the bias term, the neuron would only be able to process input data in a linear
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