viewpoints on meta learning there's kind of a mechanistic view and a probabilistic view let me explain what I mean by these the mechanistic view looks at meta learning as a setting where there's a deep neural network model that can read in an entire data set and then make predictions for new data points training this network use a metadata set which itself consists of many data sets each for a different task and this view of meta learning makes it easier to implement meta learning algorithms so if you're actually coding something up in