Reinforced Concrete buildings with masonry infills are among the most common structural systems in many countries with regions of high seismicity. Masonry infill walls increase robustness of damaged RC structures. Although their mechanical contribution is usually neglected in structural analysis and design, they significantly affect the seismic response of RC frames. In this paper, we concentrate on the development of infill walls by using various structure design and brick types. An experimental investigation is carried out on two types of mortar mixes like conventional mortar and mortar used with hybrid fibers (polypropylene, sisal, kenaf, and aramid). Here, two types of masonry brick infills such as clay bricks and fly ash bricks are used. After construction of the specimens, each was marked properly according to their respective test of total 60 specimens, which have conventional and fiber‐mixed mortars. After 28 days curing, the masonry specimens attain their full strength and they became ready for the test. The material ratio followed to construct test specimens was according to the Indian standard. The shear test is conducted for masonry triplets and the flexural test is conducted for masonry wall panel structures. After that, the mechanical properties of this structure are validated with the help of the Restricted Boltzmann Machine (RBM)‐based Deep Neural Network (DNN). The performance of the proposed modeling is evaluated by comparing with those of the existing techniques.