The Performance of Convolutional Neural Network Architecture in Classification
International Journal of Computer Applications Technology and Research · 2024
In this paper, we study the performance of convolutional neural network (CNN) architecture for object classification.We evaluate three optimizers, i.e.ADAM, SGD and RMSprop and 5 convolutional layers use CIFAR10 datasets.We conduct the experiment with python program language.We evaluate the training, validation accuracy and training execution time.