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[docs][train]Make Train example titles, heading more consistent #39606

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Sep 14, 2023
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[docs][train]Make Train example titles, heading more consistent #39606

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a4ad14f
copy editing lightning-mnist and torch-fashion-mnist examples
angelinalg Sep 7, 2023
1f37f18
rebase
angelinalg Sep 11, 2023
6991189
rebase 2
angelinalg Sep 11, 2023
9d793ab
polish examples: make titles more consistent, add links to guides
angelinalg Sep 11, 2023
b7f2a0e
make remaining examples consistent; add see also's
angelinalg Sep 12, 2023
7904767
fixed missing inline end string
angelinalg Sep 12, 2023
828d202
trying to fix premerge error
angelinalg Sep 12, 2023
6446a30
trying to fix premerge error again with removing trailing spaces
angelinalg Sep 12, 2023
87097ba
adding some links from guides to the overview pages; fix typos
angelinalg Sep 13, 2023
d82152f
Merge branch 'master' into train-examples
angelinalg Sep 13, 2023
0d35ba9
Apply suggestions from code review
angelinalg Sep 13, 2023
29c9358
Apply suggestions from code review
angelinalg Sep 13, 2023
2fc77b7
Update doc/source/train/examples/transformers/huggingface_text_classi…
angelinalg Sep 13, 2023
fb3cf60
Merge branch 'master' into train-examples
angelinalg Sep 13, 2023
82db390
Apply suggestions from code review
angelinalg Sep 13, 2023
264223c
change button text to with instead of and to be consistent with other…
angelinalg Sep 13, 2023
55f348f
Merge branch 'master' into train-examples
angelinalg Sep 13, 2023
6368840
Merge branch 'master' into train-examples
angelinalg Sep 13, 2023
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Apply suggestions from code review 
Co-authored-by: Yunxuan Xiao <[email protected]>
Signed-off-by: angelinalg <[email protected]>
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@angelinalg @woshiyyya
angelinalg and woshiyyya committed Sep 13, 2023
commit 29c93583db5a10221004b26798f44d84dc54cc03
1 change: 0 additions & 1 deletion doc/source/train/distributed-tensorflow-keras.rst
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Expand Up @@ -130,7 +130,6 @@ change anything.

If you require more advanced preprocessing, you may want to consider using Ray Data
for distributed data ingest. See :ref:`Ray Data with Ray Train <data-ingest-torch>`.
Because Ray Data is an independent library, you can directly apply most concepts to TensorFlow.

The main difference is that you may want to convert your Ray Data dataset shard to
a TensorFlow dataset in your training function so that you can use the Keras
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2 changes: 1 addition & 1 deletion doc/source/train/examples/pytorch/dreambooth_finetuning.rst
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Expand Up @@ -251,7 +251,7 @@ Step 3: Create the regularization images
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Create a regularization image set for a class of subjects using the pre-trained
Stable Diffusion model. This set regularizes the fine-tuning by ensuring that
Stable Diffusion model. This regularization set ensures that
the model still produces decent images for random images of the same class,
rather than just optimize for producing good images of the subject.

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