Similarity models - improve

Improve similarity models

  • Use a pretrained model
    If you are trying to solve a similarity problem, you can use a pretrained block
    When you use pretrained blocks you do transfer learning. Transfer learning is when you train a model on a large dataset (such as ImageNet for image data) and want to transfer parts of that knowledge to solve another, related problem.
    If a model is already pretrained for the purpose of similarity you don’t need to train it. You can click Run and wait until the experiment has finished the default 1 epoch.

  • Check your data quality, if you are not getting the desired results.

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