Abstract:
Artificial Intelligence has become the new powerhouse of data analytics in this technological
era. With advent of different Machine Learning and Computer Vision algorithms, applying
them in data analytics has become a common trend. However, applying Deep Neural
Networks in different sport data analyzing tasks and study the performance of these models is
yet to be explored. Hence, in this paper, we have proposed a 13 layered Convolutional Neural
Network referred as "Shot-Net" in order to classifying six categories of cricket shots, namely
Cut Shot, Cover Drive, Straight Drive, Pull Shot, Scoop Shot and Leg Glance Shot. Our
proposed model has achieved fairly high accuracy with low cross-entropy rate.
