Paper Title
GENERATING IMAGE CAPTIONS BASED ON DEEP NEURAL NETWORKS
Article Identifiers
Authors
T.Sandhya , Dr.Kondapalli Venkata Ramana
Keywords
Deep learning techniques, Generate captions, Concepts of image captioning.
Abstract
In this project, we leverage the power of deep learning, specifically employing Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to develop an image caption generator. This innovative endeavor capitalizes on the vast datasets and computational capabilities available in the realm of deep learning. Our goal is to create a system that can comprehend the content of an image and articulate it in English. This survey paper delves into the fundamental concepts of image captioning and outlines common methodologies. Key tools in our arsenal include the Keras library, numpy, and Jupyter notebooks. Additionally, we explore the utilization of the Flickr dataset and CNNs for image classification within the context of our project.
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How To Cite (APA)
T.Sandhya & Dr.Kondapalli Venkata Ramana (September-2023). GENERATING IMAGE CAPTIONS BASED ON DEEP NEURAL NETWORKS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b364-b374. https://ijnrd.org/papers/IJNRD2309143.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : b364-b374
Other Publication Details
Paper Reg. ID: IJNRD_205244
Published Paper Id: IJNRD2309143
Downloads: 000121984
Research Area: Engineering
Country: Visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309143.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309143
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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