Vol. 6 (11) pp. 1164-1166 DOI: 10.21474/IJAR01/8105

A COGNITIVE APPROACH FOR FLOWER IMAGE CLASSIFICATION BASED ON CONVOLUTION NEURAL NETWORKS.

  • Senior System Analyst, KyrosTechnologies, Chennai.
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Abstract

This research paper explores the application of deep learning in classification of different flower images. A Deep Neural Network based on Convolution Neural Network is proposed. The paper validates the proposed DNN model for the classification of flower images. The loss and accuracy of the model is reported here.

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References

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How to Cite This Article

Kamakshinathan C. (2018); A COGNITIVE APPROACH FOR FLOWER IMAGE CLASSIFICATION BASED ON CONVOLUTION NEURAL NETWORKS., Int. J. of Adv. Res., 6 (11), 1164-1166, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/8105

Corresponding Author

Kamakshinathan c
Kyros technologies
Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.