Computation Graphs for AAD and Machine Learning Part II: Adjoint Differentiation and AAD
Abstract
Second in a series of three articles with code, exploring the notion of computation graph, with words, mathematics and code, and application in Machine Learning and finance to compute a vast number of derivative sensitivities with spectacular speed and accuracy.