Hi,
I was just wondering in Homerwork 2, for the answer to the question :
It is answered that one can only infer paramaters from training data. In the discussion above, we are told to normalize the data by computing its mean and variance to adjust the data samples. Does the answer concerning training data only hold in this case or is it always from the training data that such parameters are computed ? Can't we use the mean and variance over the whole dataset or does is introduce a bias in the training process ?
Thanks
Nicolas