-By Md Zahangir Alom , Tarek M. Taha , Chris Yakopcic , Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin , Brian C Van Essen , Abdul A S. Awwal, and Vijayan K. Asari Paper covers vast information on Deep learning, its History, techniques, and analysis. I would present a miniature version of it. For detailed info refer Paper Link Since the 1950s, a small subset of Artificial Intelligence (AI), often called Machine Learning (ML), has revolutionized several fields in the last few decades. Neural Networks(NN) is a subfield of ML, and it was this subfield that spawned Deep Learning (DL). Since its inception, DL has been creating ever larger disruptions, showing outstanding success in almost every application domain. Fig. 1 shows, the taxonomy of AI. DL (using either deep architecture of learning or hierarchical learning approaches) is a class of ML developed largely from 2006 onward. Learning is a procedure consisting of estimating the model parameters so that the l