Characteristic Similarity Using Classical CNN Model

Deep neural network such as classical CNN become very popular used in image classification. CIFAR-10 dataset provides the ten image categories dataset with 32x32 pixels of size. Since the similarity became issue when using dataset which is not providing the enough information for classification [2] and labeled subset of tiny image in CIFAR-10 [3], we modify the classical CNN model with several parameters to reach the good similarity result in learning. We find the model can give the high similarity with 90% for representative image in dataset.