Convolutional neural network for color images classification

Artificial intelligent and application of computer vision are an exciting topic in last few years, its key for many real time applications like video summarization, image retrieval classifications. One the most trend method deep learning is a convolutional neural network, used processing vision. In this work networks CNN model proposed color classification, build using MATLAB tools learning. addition, suggested tested on three different datasets, with size. The achieved highest result accuracy, precision sensitivity largest dataset it was as following: accuracy 0.9924, 0.9947 0.9931, compare other models.