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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Shane Colburn",
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  "author": "Shane Colburn",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2208.13250",
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    "https://doi.org/10.48550/arXiv.2208.13250",
            
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    "https://doi.org/10.48550/arXiv.1704.01312",
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    "https://doi.org/10.48550/arXiv.1704.01312",
            
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    "https://doi.org/10.48550/arXiv.1910.10651"
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    "https://doi.org/10.48550/arXiv.1910.10651"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.1711.09648",
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  "defined_in": "https://doi.org/10.48550/arXiv.1711.09648",
            
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  "doi": "10.57702/fmh4ma1e",
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  "doi": "10.57702/fmh4ma1e",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Yi Chu",
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      "extra_author": "Yi Chu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Eli Shlizerman",
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      "extra_author": "Eli Shlizerman",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Arka Majumdar",
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      "extra_author": "Arka Majumdar",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "convolutional-neural-networks",
            
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      "title": "Convolutional Neural Networks"
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      "title": "Convolutional Neural Networks"
            
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      "description": "",
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      "name": "image-classification",
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      "name": "image-classification",
            
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      "title": "Image Classification"
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      "title": "Image Classification"
            
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  "metadata_created": "2024-12-02T22:36:07.951501",
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  "name": "alexnet",
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  "name": "alexnet",
            
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  "notes": "The dataset used in the paper is the AlexNet dataset, 
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  "notes": "The dataset used in the paper is the AlexNet dataset, 
            
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which contains 60,000 32x32 color images in 10 classes, with 6,000 
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which contains 60,000 32x32 color images in 10 classes, with 6,000 
            
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images per class.",
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images per class.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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      "created": "2024-12-02T22:29:38",
            
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      "data": [
            
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distributions based on DCAT.",
            
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      "id": "dbe8ff7b-f271-4849-b70d-51fadee87502",
            
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      "last_modified": "2024-12-02T22:36:08.530357",
            
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  "title": "AlexNet",
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  "version": ""
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  "version": ""
            
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}
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}