I am currently in the pre-process of starting an image classification and extraction project which needs to output multiple softmax and absolute values from a single image like such:{ time: 20:20,  teams: [   {     red: { goals: 2},     blue: { goals: 1},   },   {     scored_by : [{      john: 80%,       kyle: 51%,       darren: 20%     }   ]} ]}I can create multiple models which are responsible for different task such as reading the time from the image as well as the score and eventually combine both. I would however like to make sure I maximize on efficiency to make sure the process is as fast as possible.Any pointers in the right direction would be greatly appreciated.With kind regards,Dennis
Extracting multiple softmax values from image
neural networks;machine learning;classification