(a) human propensity to emotionally adjust to the goodness / badness our recent circumstances such that we arrive at emotional homeostasis and it’s mostly the relative level / the change in circumstances that we “feel”
(b) batch normalization, the common operation for training neural networks
Our trailing experiences form a kind of batch of “training data” on which we update, and perhaps we batchnorm their goodness since that’s the superior way to update on data without all the pathologies of not normalizing.
Maybe there’s a deep connection between:
(a) human propensity to emotionally adjust to the goodness / badness our recent circumstances such that we arrive at emotional homeostasis and it’s mostly the relative level / the change in circumstances that we “feel”
(b) batch normalization, the common operation for training neural networks
Our trailing experiences form a kind of batch of “training data” on which we update, and perhaps we batchnorm their goodness since that’s the superior way to update on data without all the pathologies of not normalizing.