Effective Prediction of Genus and Species Using a Novel Deep Learning Technique

Scientists use Palaeoanthropology as a way of clas-sifying hominoids and attempting to untangle the complicated origins of human beings. Comparison with numerous ANN configurations, LSTM, and CNN models confirms that the proposed ANN is absolutely gave best results. our proposed model is able to generalize well in the presence of a simple model and compatible data without necessitating any form of complex regularization or weight initialization techniques. A dataset containing 12,000 examples having quite varied physical characteristics of early hominids has been used for determining different genera or species of hominoids. Using LSTM and CNN models, our concern about over-fitting have restricted their practical value necessitating more validation. Based on preliminary findings in a wide-ranging study, deep learning opens up new possibilities for the paleo-anthropological community-providing them with an opportunity to explore complex issues surrounding human evolution from a different angle. Furthermore, enlightening hominoid taxonomy in order to comprehend the classification system is more advanced by this research and offers a starting point for future computational biology studies.