Comments (3)
- The PDF release date is updated automatically.
- Minor changes are added almost every day, such as typo fix, presentation improvement, etc. We will describe major changes in every release note.
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- The PDF release date is updated automatically.
So, there would be some sort of auto pdf generator, right? I am also curious about how that works. Would you mind providing me some source to learn that? Or maybe some keywords are also appreciated.
- Minor changes are added almost every day, such as typo fix, presentation improvement, etc. We will describe major changes in every release note.
By saying release note, do you mean here --> https://github.com/d2l-ai/d2l-en/releases
And if that is the place you referred to, I am wondering what is the schedule for the release note? As the latest release note is for v 0.6, and the book is v 0.7 now. So does that mean, the release note for a particular release will come out after the last update for that version, e.g, the release note for v0.7 will come out after the last update of v 0.7 (probably means the time when the first version of v 0.8 come out)
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Both PDF and HTML are built by a CI, available at http://ci.d2l.ai/blue/organizations/jenkins/d2l-en/branches/
Every time we make a change, the CI will rerun notebooks and publish both PDF and HTML. So the version here is ahead of the latest release. BTW, v0.7 will be released soon.
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Related Issues (20)
- 2.4.3 transpose confusion ∇x (Ax) = A^T
- Japanese translation
- Up to date ipynb notebooks and pdf versions HOT 2
- Notebooks are not working on Colab HOT 3
- AttributeError: module 'd2l.torch' has no attribute 'train_ch3' HOT 5
- module 'd2l.torch' has no attribute 'count_corpus' HOT 3
- A question about 4.7.3.3. Label Shift Correction HOT 1
- PyTorch Colab of Chapter 13.5 is having an IndexError HOT 2
- Free copy for the first 100 contributors
- Ethics?
- MLX support HOT 1
- Add type hinting to functions HOT 1
- Incorrect Use of torch.no_grad() in fit_epoch Method in d2l/torch.py::Trainer::fit_epoch HOT 2
- Not able to render :begin_tab:toc
- Errors in train_ch3 in tensorflow version softmax-regression-scratch.ipynb HOT 1
- [**emergency**] the comment block is down, please fix it right now HOT 1
- Chinese version of the code is out of date
- The discussion link can not be accessed. HOT 7
- The mlm loss computation in the function _get_batch_loss_bert seems wrong in d2l pytorch code HOT 2
- Can't build the book on MacOS when trying to add MLX implementation
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