2026-04-30T20:09:54Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00007371 2021-12-13T03:14:29Z 1582963674932 1582963674932:1597397050488 user-miit

Analaysis on Residual Network Models for Image Description Generation Phyu Phyu Khaing Myint San Mie Mie Aung This paper presents different deep learning models for generating the natural language description of the image. Moreover, we discussed how the deep learning model, which works for the natural language description of an image, can be implemented. This deep learning model consists of Convolutional Neural Network (CNN) as well as Recurrent Neural Network (RNN). The CNN is used for extracting the features from the image and RNN is used for generating the natural language description. To implement the deep learning model in generating the natural language description of an image, we have applied the Flickr 8K dataset and we have also evaluated the performance of the model using the standard evaluation matrices. These experiments show that the model is frequently giving accurate natural language descriptions for an input image. 2019-12-11 http://hdl.handle.net/20.500.12678/0000007371 https://meral.edu.mm/records/7371