  Neural networks have been used as a nonparametric method for option pricing
and hedging since the early 1990s. Far over a hundred papers have been
published on this topic. This note intends to provide a comprehensive review.
Papers are compared in terms of input features, output variables, benchmark
models, performance measures, data partition methods, and underlying assets.
Furthermore, related work and regularisation techniques are discussed.
