Inception module used in this study to estimate the photo-z. The input layer has size (36,36,4). Conv2D is a two-dimensional convolution layer, with the kernel size specified in brackets. Average Pooling 2D is a two-dimensional pooling operation that uses a kernel of size 3 × 3. Each operation is represented using boxes of distinct colors. Concatenation is the combined feature maps from parallel convolutions.