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    Pytorch Skeleton Code for Binary and Multi-class Classification

    • Post author:N S Punn
    • Post published:April 11, 2023
    • Post category:Development/Tutorial
    • Post comments:0 Comments

    In this post, I will share my GitHub repository which you may refer to develop your own model. It comprises implementation for training, testing and interpretation. This post will cover…

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    Building First CNN Model

    • Post author:N S Punn
    • Post published:May 2, 2021
    • Post category:Tutorial
    • Post comments:0 Comments

    What is covered? OverviewDatasetImporting the librariesLoading the datasetSetting data shapeOne hot encodingBuilding and compiling the modelCallbacksTraining and visualizing the modelVisualize model output Overview This post covers the development of handwritten…

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    Overview of Deep Learning Basics – I

    • Post author:N S Punn
    • Post published:April 5, 2021
    • Post category:Tutorial
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    What is covered? IntroductionPerceptronNeural networkActivation functionLoss functionGradient descentSummaryRecommended resources Prologue Deep learning is a form of machine learning that uses a model of computing that mimics the structure of the…

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    Testing Concept Drift Detection Technique on Data Stream

    • Post author:N S Punn
    • Post published:April 2, 2021
    • Post category:My work
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    Publication Details The paper is published in the International Conference on Big Data Analytics 2018. For more details: click here Highlights A novel concept drift detection algorithm is proposed.Achieved significant…

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    • Pytorch Skeleton Code for Binary and Multi-class Classification
    • BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins
    • RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
    • Glimpse of 8th Heidelberg Laureate Forum 2021
    • Distributed Deep Learning with Elephas
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