Training of Convolutional Neural Network using Transfer Learning for Aedes Aegypti Larvae

[...]the discovery and exploration are crucial in this field to offer a better living to the human population. [...]the objective of the study was to acquire and compare various accuracies and cross-entropy errors of training sets within the different learning rates. The training accuracy of this application is 97.88%. Besides training the convolutional neural networks, it also performs a hybrid with salient feature successfully [16]. [...]inception-V3 architecture could classify more than hundreds of classes within millions of images, the small changes in the result were due to small application where only 2 classes were classified.