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easy
primitives
Implement L2 Regularization
Implement L2 regularization (weight decay) penalty.
The L2 regularization term is:
$$\text{L2} = \frac{\lambda}{2} \sum_{i} w_i^2$$
where $\lambda$ is the regularization strength and $w$ are the model weights.
Input:
-
weights: 1D tensor of model weights -
lambda_: regularization strength (float)
Output: A scalar representing the L2 penalty
Hints
regularization
optimization
basics
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