In this microcredit, you will be introduced to the concept of designing a deep neural network (DNs) for accurate approximation of operators which map input functions into output functions. These operators can be explicit or implicit types. In its simplest form an explicit operator could be a derivative or integral operator of any desired functions. A good example of implicit type would
be the solution operators of ordinary/partial differential equations (ODEs/PDEs).
