Optimizer, Gradient Descent, Machine Learning, Adam, Sgd.
cases will be different from the previous one, correspondingly the distribution of the weights will also vary accordingly. Say there may be an outlier, for which the feature value distribution is different, correspondingly the weight distribution will vary for the sample, and it will be different