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fix initial_epoch in fine tuning step #2292

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merged 4 commits into from
Apr 15, 2024

Commits on Dec 18, 2023

  1. Update transfer_learning.ipynb - fix initial_epoch for fine tuning

    initial_epoch for the fine tuning phase should be 1 more than history.epoch[-1], so that the history_fine.epoch would be [10, 11, ...19], a total of 10 fine tune epochs.
    Without the '+1', history.epoch is [0, 1, ...9], and history_fine.epoch is [9, 10, ... 19], the epoch index overlaps at 9, fine tune actually trained for 11 epochs, not 10, and the model is actually trained for 21 epochs in total (confirmed in the x axis of the combined training history curve - 21 data points)
    sharkfisher authored Dec 18, 2023
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  2. Merge pull request #1 from sharkfisher/sharkfisher-transferlearning-i…

    …nitialepoch
    
    Update transfer_learning.ipynb  - fix initial_epoch for fine tuning
    sharkfisher authored Dec 18, 2023
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  3. Alternative fix for initial_epoch (better conceptualization). Formatt…

    …ing check.
    M Liang committed Dec 18, 2023
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Commits on Apr 11, 2024

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