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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Veritas AI: CIFAR-10 Image Classification |
| Authors Name: | Akshay Akhileshwaran |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_205256
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| Published Paper Id: | IJNRD2310207 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| Abstract: | The CIFAR-10 dataset has developed as one of the most prominent benchmarks for evaluating image classification models due to its diverse classes and relatively small image sizes. In this research, the application of deep learning techniques has been explored for enhancing the performance of image classification with the CIFAR-10 dataset. [1] Leveraging the power of the Convolutional Neural Networks (CNN), a novel architecture tailored to use this model in Self-Driving Cars is proposed. The current study involves extensive experimentation with different network configurations, hyperparameters, and optimization algorithms to identify the most effective approach. The impact of varying training strategies, including data augmentation and transfer learning on robustness and model generalization have been analyzed. [8] Furthermore, a comparative analysis of state-of-the-art models to benchmark has been concluded to proposed architecture’s performance against established methods. Overall, this research contributes to the advancement of image classification methodologies on the CIFAR-10 dataset, with potential applications in various real-world domains, such as object recognition and autonomous systems. |
| Keywords: | CIFAR-10, Image classification, Convolution Neural Networks (CNNs), Benchmark dataset, Machine learning, Computer vision |
| Cite Article: | "Veritas AI: CIFAR-10 Image Classification", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.c50-c54, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310207.pdf |
| Downloads: | 000118762 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2310207 Registration ID: 205256 Published In: Volume 8 Issue 10, October-2023 DOI (Digital Object Identifier): Page No: c50-c54 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310207 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310207 |
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