FastNPU for use with DiffEqFlux.jl.
Simple Neural Arithmetic
As an example, we can train different layers to learn the function
f(x,y) = (x+y, x*y, 1/x, sqrt(x))
which has two inputs and four outputs. For mo. The figure below plots the error
of each layer and arithmetic operation in
f for training and testing datapoints. All layers
were trained on the input range U(0.1,2). For more details take a look at our paper.