Architecture used for Part II network. Same as shown in Fig. 3: two branches of three convolution layers followed by three independent groups of dense layers, one for each variable of interest. The grey branch is not trained from scratch but is initialised with the results of the Part I network. Inputs are single band optical images; outputs are improved µ and predicted σ of flux, x and y.