Neural network (NN) operators are widely recognized for providing a constructive approach to approximate given class of functions. In this paper, we study the convergence of a family of semi-discrete NN operators, known as Durrmeyer type NN operators, in the general framework of Orlicz spaces on \([a,b] (\subset \mathbb {R}),\) denoted by \(L^{\phi }([a,b]).\) The Orlicz space consists of various function spaces, including classical Lebesgue spaces, Exponential spaces, Zygmund spaces, for different choices of \(\phi -\) functions. Hence this note presents a unified approximation procedure for these operators across various function spaces. We establish the boundedness of Durrmeyer type NN operators within \(L^{\phi }([a,b]).\) Further, modular convergence theorem is deduced for these NN operators in general setting of Orlicz spaces. Lastly, we enclose some graphical representations and error-estimates to demonstrate the approximation process.
