publish [GPU]: lightning_examples/mnist-hello-world

Author: Azure Pipelines

.notebooks/lightning_examples/mnist-hello-world.ipynb

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cf8da156d24abab7d4583a50d1bfa45869281ac87695b865969c5b3cba1970a2
+size 173331

.notebooks/lightning_examples/mnist-hello-world.yaml

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+title: Introduction to PyTorch Lightning
+author: Lightning.ai
+created: 2020-12-21
+updated: 2023-05-15
+license: CC BY-SA
+build: 0
+tags:
+- Image
+description: In this notebook, we'll go over the basics of lightning by preparing
+  models to train on the [MNIST Handwritten Digits dataset](https://en.wikipedia.org/wiki/MNIST_database).
+requirements:
+- torchvision
+- torchmetrics >=0.11.0
+- pandas
+- seaborn
+- lightning>=2.0.0
+accelerator:
+- CPU
+- GPU
+environment:
+- pytorch-lightning==1.5.3
+- torchvision==0.15.2
+- torch==2.0.1
+- numpy==1.26.4
+- torchmetrics==1.2.1
+- setuptools==69.0.3
+- urllib3==2.2.2
+- pandas==2.2.2
+- ipython==8.16.1
+- matplotlib==3.8.4
+- lightning==2.3.3
+- seaborn==0.13.2
+published: '2024-07-20T00:10:28.589696'