Architecture of the CBPF-z model used for photometric redshift estimation. The network processes magnitudes and colours through separate branches, each composed of two dense layers with sigmoid activation and batch normalisation. The outputs are concatenated and passed through additional dense and batch normalisation layers, followed by a Gaussian mixture output layer that models the redshift PDF.