My first forays into making neural networks used replacement rules to modify an expression tree until all the “D” operators went away, but that takes exponentia

My first forays into making neural networks used replacement rules to modify an expression tree until all the “D” operators went away, but that takes exponential complexity in network depth if you aren’t careful. Finite differences is linear in number of parameters, as is differentiation by Dual Numbers