This paper is based upon the recognition of either characters or digits by using Neocognitron algorithm, which can be used for detecting multiple patterns. A large pattern can be divided into multiple parts until it becomes a single cell for each and every block for its representation. Neural Network can be implemented with the concept of fuzzy logic which deals with ambiguous problems. The integration of Neural Network and Fuzzy Logic will generate such type of intelligent systems for mankind in optimum real life problems. It also describes various types of architects that can be constructed with neural network. In Neocognitron approach, a type of hierarchal network where two types of cells can be used like simple and complex cells, which can be trained by using different neural network algorithm approaches. It also describes various types of applications that can be used in real life through Neocognitron. The objective of the paper is to describe various architectures of Neural Network approach, so that it can be implemented with different algorithms for better outcomes in real life complex problems.