Fixed incorrect description of what each dimension represents

[vaharoni]

Fixes #3622

Description

Suggestion for tweaking the text containing a possible minor inaccuracy.

The basic Build the Neural Network tutorial has the text:
Calling the model on the input returns a 2-dimensional tensor with dim=0 corresponding to each output of 10 raw predicted values for each class, and dim=1 corresponding to the individual values of each output.

I'm suggesting the following:
Calling the model on the input returns a 2-dimensional tensor with dim=0 corresponding to the batch dimension (one entry per example in the input) and dim=1 corresponding to the 10 raw predicted class scores (logits) for each example.

Checklist

• The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
• Only one issue is addressed in this pull request
• Labels from the issue that this PR is fixing are added to this pull request
• No unnecessary issues are included into this pull request.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3623

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• Long queue for ROCM runners, also B200 and XPU queueing is observed
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❌ 1 New Failure

As of commit dda2352 with merge base 9dc8613 ():

NEW FAILURE - The following job has failed:

• link check on PR / linkChecker (gh)
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