Tagging of Quarks to Particle Shower Imagery vis-à-vis Intelligent Learning

The recent technological explosion has greatly aided humanity. We humans have been adopting newer technologies virtually every day, whether it is Artificial Intelligence or the Internet of Things. Among these, Artificial Intelligence is a technology stack or a concept that has attained remarkable heights. From IBM's Deep Blue breakthrough to Google's creation of self-driving cars, AI has become a blanket draped on humans today. In this work, we would make use of Artificial Intelligence, to be specific, Neural Network, to label a Particle Shower Imagery as Quarks' or otherwise. For, the work, we are employing a 4 Layer Convolutional Neural Network, with Adaptive Gradient Optimizer, and a total of 5 epochs only. This research would help in segregation of a Particle Shower Image as being developed of Quark or some other particle. For training the model, we made use of a Particle Imagery Dataset collected using Monte Carlo Simulation.