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Generating natural language descriptions for images is a challenging task.The traditional way is to use the convolutional neural network (CNN) to extractimage features, followed by recurrent neural network (RNN) to generatesentences. In this paper, we present a new model that added memory cells togate the feeding of image features to the deep neural network. The intuition isenabling our model to memorize how much information from images should be fedat each stage of the RNN. Experiments on Flickr8K and Flickr30K datasets showedthat our model outperforms other state-of-the-art models with higher BLEUscores.

Generate Image Descriptions based on Deep RNN and Memory Cells for Images Features