Artificial Intelligence

    

Hypergraph Deployment with Self-abrasive Deep Neural Networks and CSGANS

Authors: Siddhant Kumar Jha

The objective of the study is to develop a definitive meta-analysis of the recent developments in hyper-graph theories’ application in the field and study of deep learning and more widely in Machine learning , the applications of this particular technique may range simple classification tuning to more advanced abstract GANs in the field of regenerative graphical systems and computer vision in general,In our experiments, we use a novel random walk procedure and show that our model achieves and, in most cases, surpasses state-of-the-art performance on benchmark data sets. Additionally we also try to display our classification performance as compared to traditional Statistical Techniques , ML algorithms as well as Classical and new Deep learning algorithms.

Comments: 6 Pages.

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Submission history

[v1] 2022-02-25 19:21:37

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