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Rename new neural networks tutorial and add contents #6105
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RalfG
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May 17, 2025
- Renames the tutorial to a more fitting title
- Added metadata
- Added tutorial contents
bebatut
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Here is my review with some suggestions
Could you add the previous path in bin/check-url-persistence.sh here:
https://github.com/galaxyproject/training-material/blob/main/bin/check-url-persistence.sh#L32?
Thanks a lot
topics/statistics/tutorials/practical-deep-learning-with-pytorch/tutorial.md
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…ch/tutorial.md Co-authored-by: Bérénice Batut <[email protected]>
Co-authored-by: Bérénice Batut <[email protected]>
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| > Try to access the first 10 samples of the dataset. | ||
| > | ||
| > > <question-title></question-title> | ||
| > > What do you see? |
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Could you add an answer to this question box?
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| Of course, we want to train the model for multiple *epochs*. An epoch is a complete pass through the training data. In each epoch, we will go through all the batches of data in the `DataLoader` and perform the training steps described above. Additionally, we want to see how the model is performing on the *validation set*. To do this, we will perform a single forward step with the current model on a validation dataset and compute the loss after each epoch. | ||
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| *Question: What is the difference between a validation set and a test set? Why do we need both? When do you use one over the other?* |
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question box?
| > > <question-title></question-title> | ||
| > > 1. How does the model perform? | ||
| > > 2. Is it better than the previous model? | ||
| > {: .question} |
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could you add the solutions in a solution box?