A Review on Neural Networks and its Applications

Neural Networks have been a hotspot domain for researchers due to its increasing area of applications in areas where huge amounts of data is used and the main goal is to infer patterns out of it. This passage offers an assessment of Neural Networks and their pragmatic uses in real-world situations. It provides information regarding the basic structure of Neural Networks and its working principles. There are also brief introductions to different types of Neural Networks available by keeping Artificial Neural Networks as the pivot. Additionally, the study reveals the advantages of one type of neural network over the other and the cons of certain types of Neural Networks. It also covers a wide range of applications which are used to solve complex real world problems of various domains like Medicine, Meteorology, Image processing, stylometry, Speech recognition and many more issues that have been addressed by Neural Networks owing to their special capability to cater optimum solutions to the issue. The study has also revealed the advantages of using Neural Networks instead of manual labor in the areas of accuracy, processing speed, fault tolerance, performance and so on. We also conclude that Neural Networks when combined with statistics can form a great tool in the field of data science.