Abstract

For Humans identification of any object by just seeing towards it done within few second, it's really easy for them but when we concern about the machine to identify the object, it is really complex thing. In such a scenario Machine learning comes in to the picture. Some of the issues are there regarding Image recognition, object detection, pattern recognition in computer vision which can be solved by the use of Deep Learning. The main motive to write this paper is to give idea about different approaches of Deep Learning with the concern of classification and segmentation. After all those description which one should be good to use for the classification is shown with result analysis and it also shown with the BLEU score, which compare the candidate statement with the reference statement.

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