Jet classification with GarNet

In this report, it is passed though all important aspects of Hadronic Jet produced in LHC collision events and collisions simulations approach using the main programs, all the way through tagging heavy particles in Fat jets algorithm process. Then, it is briefly discuss the Machine Leaning using Neural Networks through classification task. The final and most important of this project development proposal is to use the learned Machine Leaning and Neural Network knowledge to adapt the GarNet layer of Neural Network on classification of fat jets. In this work, it was analyzed just the tagging classification between top quark jets and gluon jets data, taken from hls4ml dataset.