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Project 19: L2 Regularizer Demo

ML Engineer

Builds on these lessons

05 Tf Regularization
Current Task

Objective

A kernel_regularizer like L2 penalizes large weights during training, discouraging the model from overfitting.

Task: attach an L2 regularizer to a Dense layer and print it.

index.py
import tensorflow as tf from tensorflow.keras import layers, regularizers layer = layers.Dense(8, kernel_regularizer=regularizers.l2(0.01)) print(layer.kernel_regularizer)

* Hint: Correct characters turn green, incorrect ones turn red.

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