Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
regularization factor. It controls the strength of the regularization. A higher value means more regularization, leading to smaller weights. Unlike L1 regularization, which can lead to sparse solutions with many weights set to zero, L2 regularization tends to distribute the weights more evenly,