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@article{154636,
        author = {Surendhiran Tamilalagan},
        title = {Image-based Bird Species Identification Using Convolutional Neural Network},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {11},
        pages = {789-797},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154636},
        abstract = {Due to climate change, many species of plants and animals are at risk. To protect ourselves, we must first identify the species and the special care they need to survive. More than 10,000 species are part of the ecosystem. Identifying a bird species in a photograph is a challenging task as it requires techniques such as image processing and the Convolutional Neural Network (CNN). CNN is a very challenging research site with many problems as small differences in images are seen as completely new images. Along the way, we use a transfer learning method to train our neural model.},
        keywords = {Biological Neural Network, Convolutional Neural Network, Deoxyribonucleic Acid, ImageNet},
        month = {},
        }