Multitask and transfer learning

How do we implement multitask and transfer learning in our algorithm what changes do we need to do in our code??

Multitask learning requires formulation of the problems such that they can be computed from the same input. For instance, you might want to compute the sex and skin color of a patient from the same input features.

Transfer learning can be used in computation of any or all of the subtasks of multitask problem depending on the network architecture.

See this link to get an idea of setting up a NN for multiple tasks.