Kinetic modeling of CO2 hydrogenation over Fe-containing catalysts is usually based on empirical LHHW models. Riedel et al. were the first who investigated the kinetics of hydrogenation, but they also considered only one organic compound (C4) for describing reaction products. It is noted that the development of models predicting hydrocarbon distribution is a difficult task for kinetic modeling of CO2 hydrogenation. Panzone et al. developed a semiempirical macrokinetic model to describe products of CO2 hydrogenation including hydrocarbon distribution using the ASF distribution. Recently, a microkinetic approach was applied that allowed obtaining the models successfully describing reagent consumption and products formation as well as hydrocarbon distribution of CO2 hydrogenation that were demonstrated in works. From the presented works one can see the complexity of kinetic modeling of CO2 hydrogenation to hydrocarbons. In our work we demonstrated that neural KCNODE could be successfully applied for describing the kinetics of this complicated reaction.