A Study of Image Classification by Using Deep Learning via Tenserflow

Abstract

This research study about image classification by using the deep neural network (DNN) or also known as Deep Learning by using framework TensorFlow. Programming language for this research is Python because it comes together with TensorFlow. The input data mainly focus with flowers category which is there have five (5) type of flowers that has been used in this research. Deep neural network (DNN) has been choosing as the best option for the training process because it produced a high percentage of accuracy. Results are discussed in terms of the accuracy of the image classification in percentage. Roses get 90.585% and same goes to another type of flowers where the average of the result is up to 90% and above.