Development of 3D CNN in TMVA

This project is about the development of 3D CNN functionality in TMVA. I shall be developing both 3D convolution as well as 3D pooling layers. 3D CNNs have very promising applications in particle physics, such as imaging calorimetry and particle tracking, allowing physicists to use new techniques to identify particles and search for new physics. In addition, they can be used as Generative Adversarial Networks for fast imaging detector simulations.