ML | DA Practice | Regularization

Question

In the pursuit of achieving weight sparsity in a neural network, which regularization method should be your go-to choice?

Options:

A) L1 regularization
B) L2 regularization
C) Both L1 and L2 regularization
D) No regularization needed for weight sparsity

Answer 1

• A. L1 regularization (lasso) because it force weight to became 0 for non informative feature.

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