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alexnet cnn model by41  (Kaggle Inc)

 
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    Structured Review

    Kaggle Inc alexnet cnn model by41
    Alexnet Cnn Model By41, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/alexnet's+cnn/cnn+model+omfa+presentation+%E2%80%A2/pm41068276-141-9-29
    Average 86 stars, based on 1 article reviews
    alexnet cnn model by41 - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    Comparison:

    Article Title: Employing deep learning and transfer learning for accurate brain tumor detection
    Article Snippet: Bakary Badjie , 2022 , Kaggle , AlexNet's CNN , 99.12.

    Article Title: Employing deep learning and transfer learning for accurate brain tumor detection
    Article Snippet: Bakary Badjie , 2022 , Kaggle , AlexNet's CNN , Lack of explicit consideration or discussion about the interpretability of the deep learning mode.



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    Image Search Results


    Cnn based classification and performance.

    Journal: Heliyon

    Article Title: Context aware machine learning techniques for brain tumor classification and detection – A review

    doi: 10.1016/j.heliyon.2025.e41835

    Figure Lengend Snippet: Cnn based classification and performance.

    Article Snippet: [ ] , 2019 , DNN , CNN AlexNet Linear-SVM , ILSVRC-2012 Image-Net , Caffe, MATLAB , 164.

    Techniques: Blocking Assay, Plasmid Preparation

    Different deep learning systems for optical pathology detection.

    Journal: F1000Research

    Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

    doi: 10.12688/f1000research.122288.2

    Figure Lengend Snippet: Different deep learning systems for optical pathology detection.

    Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

    Techniques: Modification

    Proposed system for glaucoma and diabetic retinopathy detection using AlexNet.

    Journal: F1000Research

    Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

    doi: 10.12688/f1000research.122288.2

    Figure Lengend Snippet: Proposed system for glaucoma and diabetic retinopathy detection using AlexNet.

    Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

    Techniques:

    Proposed neural network architecture for eye diseases detection based on AlexNet.

    Journal: F1000Research

    Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

    doi: 10.12688/f1000research.122288.2

    Figure Lengend Snippet: Proposed neural network architecture for eye diseases detection based on AlexNet.

    Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

    Techniques:

    Computational Adjustments for AlexNet, GoogLeNet, and ResNet50 Training Parameters.

    Journal: F1000Research

    Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

    doi: 10.12688/f1000research.122288.2

    Figure Lengend Snippet: Computational Adjustments for AlexNet, GoogLeNet, and ResNet50 Training Parameters.

    Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

    Techniques:

    Comparison between related studies.

    Journal: F1000Research

    Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

    doi: 10.12688/f1000research.122288.2

    Figure Lengend Snippet: Comparison between related studies.

    Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

    Techniques: Comparison, Extraction, Modification