A COGNITIVE APPROACH FOR FLOWER IMAGE CLASSIFICATION BASED ON CONVOLUTION NEURAL NETWORKS

This research paper explores the application of deep learning in classification of different flower images. A Deep Neural Network based on Convolution Neural Network is proposed. The paper validates the proposed DNN model for the classification of flower images. The loss and accuracy of the model is reported here.