Classification of Cultural Heritage Mosque of Bangladesh Using CNN and Keras Model

Now-a-days convolutional neural network is widely used in categorizing cultural heritage and other images. Important image features can be easily extracted using this technique before classification. So, we can utter that convolutional neural network acts as a complete package. Again, keras is a neural network API which works as a package in R interface. Along with convolutional neural network, keras supports faster execution. To do this, a new dataset has been formed and this has to be passed through several layers of convolutional network for training and test purposes. Promising accuracy has been achieved as a result and it is considered as one of the best techniques for the restoration and preservation of cultural heritage mosques and other resources.