  As the advancements in the field of artificial intelligence and nonlinear
optics continues new methods can be used to better describe and determine
nonlinear optical phenomena. In this research we aimed to analyze the
diffraction patterns of an organic material and determine the nonlinear
refraction index of the material in question by utilizing ResNet 152
convolutional neural network architecture in the regions of laser power that
the diffraction rings are not clearly distinguishable. This approach can open
new sights for optical material characterization in situations where the
conventional methods do not apply.
