Architectures of the neural networks we use. Each circle represents a network layer and the color indicates the layer type. Dense and convolutional layers are labeled with their total size and their filter size, respectively. The network for track reconstruction has about 2.8 million trainable parameters, the one for charge determination and energy measurement about 2.1 million.