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- W4293218525 abstract "Image captioning refers to a task wherein an image is seen by a computer to give an output as “what it sees.” Image captioning would mean giving an intelligent system an image, say of a dog running across a field to receive a statement back as “dog running across a field” or something similar down its lines. The image caption generator is a deep learning model built using the power of recurrent neural networks (RNNs) which are powered by the long-term and short-term (LTSM) units. The model also uses transfer learning to enable build a better and faster deep learning model. The model is built using the “Flicker8k” dataset and uses the inherent power of a convolutional neural network to predict suitable caption for an image. The seamless integration of computer vision into the model and its high-quality prediction makes it highly usable and in-demand with respect to the current trends in the industry." @default.
- W4293218525 created "2022-08-27" @default.
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- W4293218525 date "2022-01-01" @default.
- W4293218525 modified "2023-09-26" @default.
- W4293218525 title "RNN-Based Deep Learning Model for Generating Caption of an Image" @default.
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- W4293218525 doi "https://doi.org/10.1007/978-981-19-0745-6_11" @default.
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