Bayes by Backprop with gluon jupyter notebook

Hi,

Going over the notebook here and it seems that the weights custom update step in the training loop doesn’t work (errors out because param._data.keys() method doesn’t exist).

Is this a known issue? Worth investigating and trying to fix?

Thanks,
Yevgeniy

Yeah that code is wrong. Accessing private members (_data) is bad practice. Should use param.data(ctx) instead.