Machine Learning, Regularization, Machine Learning Concept, Learning, Learning Journey.
to a neural network with two hidden layers: if you double the weights and biases in the first layer and then halve them in the second layer, the final output remains unchanged. (Note this flexibility, however, mainly applies to activation functions with some linear characteristics, like ReLU, but