What is the easiest way to print learnt parameters beta and gamma from batch normalization? When I print vars(net.state_dict()), all I see is running_mean, running_var, bias and weight.
isn’t beta == bias and gamma == weight?
What is the easiest way to print learnt parameters beta and gamma from batch normalization? When I print vars(net.state_dict()), all I see is running_mean, running_var, bias and weight.
isn’t beta == bias and gamma == weight?