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  • Published on  2024-10-08

    Dataset and Code for Fine-tuning Neural Networks via Transfer Learning on Image Classification Tasks

    CSTR 31253.11.sciencedb.14338
    DOI 10.57760/sciencedb.14338

    Description

    This dataset contains results from experiments where transfer learning was applied to neural network models pre-trained on the ImageNet dataset. The final fully connected layer of 1000 units was replaced with an 8-unit layer to fit the specific classification tasks in this study. The models were fine-tuned with a custom dataset to optimize performance for categorization, while core layers remained unchanged. Fine-tuning was conducted across the network based on the configurations of pre-existing model parameters. This process aimed at enhancing the model's adaptability for specialized tasks.

    Keywords:

    • neural network
    • transfer learning
    • ImageNet

    Subject:

      Information science and systems scienceComputer science and technology

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    • gn6tng@163.com
    • 152.03 MB
    • 1
      • Version 1 published online
        2024-10-08 07:38:41 GMT+8

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