Artificial Intelligence (AI) has become a field of intense interest and high expectations within the defence technology community. AI technologies hold great promise for facilitating military decisions, minimising human causalities and enhancing the combat potential of forces, and in the process dramatically changing, if not revolutionising, the design of military systems. This is especially true in a wartime environment, when data availability is high, decision periods are short, and decision effectiveness is an absolute necessity. Machine Learning is a subset of AI, which focuses on the development of computer programs that can change when exposed to new data, by searching through data to look for patterns and adjusting program actions accordingly. Deep Learning is a further subset of Machine Learning that is composed of algorithms which permit software to train itself by exposing multi-layered neural networks (which are designed on concepts borrowed from a study of the neurological structure of the brain) to vast amounts of data. This book has been written keeping in view the requirements of undergraduate and postgraduate students and research scholars in the area of computer science and engineering in particular, and other branches of engineering which deal with the study of Artificial Intelligence.