HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Update to lowercase MkDocs admonitions (#15990)

Browse source 
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
parent ce24c7273e
commit c2b647a768
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
133 changed files with 529 additions and 521 deletions
Download patch file Download diff file Expand all files Collapse all files

6
docs/en/datasets/classify/mnist.md
View file

@ -34,7 +34,7 @@ The MNIST dataset is widely used for training and evaluating deep learning model
To train a CNN model on the MNIST dataset for 100 epochs with an image size of 32x32, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -69,7 +69,7 @@ If you use the MNIST dataset in your
research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -95,7 +95,7 @@ The [MNIST](http://yann.lecun.com/exdb/mnist/) dataset, or Modified National Ins
To train a model on the MNIST dataset using Ultralytics YOLO, you can follow these steps:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"