Deep Learning Method, in which the output is normalised $\int f(x) dx=1 \; \forall f(x)$ Can be used to estimate probability density functions ->Thus useful for AD $\int f(h(x)) \|\frac{\delta h}{\delta x}\| dx=1 \; \forall h(x)$