Deep Learning, Neural Networks, Machine Learning, Artificial Intelligence, Keras.
sparser weights. l2: This is the regularization factor for L2 regularization. It controls the strength of the penalty applied to the squared values of the weights. A higher value leads to smaller weights. This combination encourages the model to learn simpler patterns with smaller and sparser