lightning/notebooks
Shachar Mirkin 9b1e4b259d Add Google Colab badges (#5111)
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Add colab badges to notebook to notebooks 4 & 5

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Co-authored-by: chaton <thomas@grid.ai>
2021-01-05 09:57:37 +01:00
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01-mnist-hello-world.ipynb add congratulations at the end of our notebooks (#4555) 2020-11-07 12:05:29 +00:00
02-datamodules.ipynb add congratulations at the end of our notebooks (#4555) 2020-11-07 12:05:29 +00:00
03-basic-gan.ipynb add congratulations at the end of our notebooks (#4555) 2020-11-07 12:05:29 +00:00
04-transformers-text-classification.ipynb Add Google Colab badges (#5111) 2021-01-05 09:57:37 +01:00
05-trainer-flags-overview.ipynb Add Google Colab badges (#5111) 2021-01-05 09:57:37 +01:00
06-cifar10-baseline.ipynb Add a notebook example to reach a quick baseline of ~94% accuracy on CIFAR (#4818) 2020-12-10 16:26:18 +05:30
README.md Add a notebook example to reach a quick baseline of ~94% accuracy on CIFAR (#4818) 2020-12-10 16:26:18 +05:30

README.md

Lightning Notebooks

Official Notebooks

You can easily run any of the official notebooks by clicking the 'Open in Colab' links in the table below 😄

Notebook Description Colab Link
MNIST Hello World Train your first Lightning Module on the classic MNIST Handwritten Digits Dataset. Open In Colab
Datamodules Learn about DataModules and train a dataset-agnostic model on MNIST and CIFAR10. Open In Colab
GAN Train a GAN on the MNIST Dataset. Learn how to use multiple optimizers in Lightning. Open In Colab
BERT Fine-tune HuggingFace Transformers models on the GLUE Benchmark Open In Colab
Trainer Flags Overview of the available Lightning Trainer flags Open In Colab
94% Baseline CIFAR10 Establish a quick baseline of ~94% accuracy on CIFAR10 using Resnet in Lightning Open In Colab