  The techniques of deep learning have become the state of the art methodology
for executing complicated tasks from various domains of computer vision,
natural language processing, and several other areas. Due to its rapid
development and promising benchmarks in those fields, researchers started
experimenting with this technique to perform in the area of, especially in
intrusion detection related tasks. Deep learning is a subset and a natural
extension of classical Machine learning and an evolved model of neural
networks. This paper contemplates and discusses all the methodologies related
to the leading edge Deep learning and Neural network models purposing to the
arena of Intrusion Detection Systems.
