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carpentries-incubator / deep-learning-intro

Learn Deep Learning with Python
https://carpentries-incubator.github.io/deep-learning-intro/
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Textual updates, clarifications and references added #361

Closed Morrizzzzz closed 11 months ago

Morrizzzzz commented 1 year ago

Looking through this episode I added some textual edits and links. I hope these are useful.

  1. In the section Split data into training and test set

    • Link to the scikit-learn module added
    • more clarification added on datasets (i.e. penguins_features) and target (i.e. defined as target).

  2. In section, 4. Build an architecture from scratch or choose a pretrained model

    • Rephrased the first sentence

  3. In section 5 Choose a loss function and optimizer

    • Reference added to the Adam optimizer.

  4. In section 8, Measuring performance:

    • added an explicit refernce to the test set.

  5. In section 9, Tune hyperparameters

    • Added: Note that the outcome you have might be slightly different from what is shown in this tutorial.
github-actions[bot] commented 1 year ago

Thank you!

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:stopwatch: Updated at 2023-08-07 09:04:24 +0000