{"id":20451,"date":"2022-09-29T04:22:11","date_gmt":"2022-09-29T04:22:11","guid":{"rendered":"https:\/\/file.currentschoolnews.com\/?post_type=product&p=20451"},"modified":"2022-09-29T11:01:10","modified_gmt":"2022-09-29T11:01:10","slug":"study-of-scalable-deep-neural-network-for-wildlife-animal-recognition-and-identification","status":"publish","type":"product","link":"https:\/\/pastexamquestions.com\/product\/study-of-scalable-deep-neural-network-for-wildlife-animal-recognition-and-identification\/","title":{"rendered":"Study of Scalable Deep Neural Network for Wildlife Animal Recognition and Identification"},"content":{"rendered":"

– Study of Scalable Deep Neural Network for Wildlife Animal Recognition and Identification –<\/strong><\/span><\/p>\n

Download Study of Scalable Deep Neural Network for Wildlife Animal Recognition and Identification<\/strong><\/span>. Animal Science students who are writing their projects can get this material to aid their research work.<\/span><\/span><\/p>\n

Abstract<\/b><\/span><\/h2>\n

Recently, deep learning techniques have been used significantly for large scale image classification targeting wildlife prediction. This research adopted a deep convolutional neural network (CNN) and proposed a deep scalable CNN.<\/p>\n

Our research essentially modifies the network layers (scalability) dynamically in a multitasking system and enables real-time operations with minimum performance loss.<\/p>\n

It suggests a straightforward technique to access the performance gains of the network while enlarging the network layers.<\/p>\n

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Introduction<\/span><\/span><\/strong><\/span><\/h2>\n

The task of identifying and recognition of animals from photos has long been standing as there is no unique method that provides a robust and efficient solution to all situations.<\/p>\n

Several researchers used long-standing traditional approaches for its implementation with the problem still hanging in limbo as the task hugely involve collecting a large volume of images which predominantly is conducted manually<\/p>\n

with possibly images having an imperfect quality which sometimes affect the speed of classification, accuracy even for domain experts.<\/p>\n

More so, processing these image sets is time-consuming, effort demanding, and comes at a very high cost as it is an overwhelming amount of data that is collected.<\/p>\n

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How to Download this Project Material<\/strong><\/span><\/h2>\n

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