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chaton 854c13673b add congratulations at the end of our notebooks (#4555 ) * add congratulations at the end of our notebooks * udpate image		2020-11-07 12:05:29 +00:00
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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 congratulations at the end of our notebooks (#4555 )	2020-11-07 12:05:29 +00:00
05-trainer-flags-overview.ipynb	add congratulations at the end of our notebooks (#4555 )	2020-11-07 12:05:29 +00:00
README.md	Fix broken trainer flags nb (#4159 )	2020-10-15 23:04:54 +02:00

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.
Datamodules	Learn about DataModules and train a dataset-agnostic model on MNIST and CIFAR10.
GAN	Train a GAN on the MNIST Dataset. Learn how to use multiple optimizers in Lightning.
BERT	Fine-tune HuggingFace Transformers models on the GLUE Benchmark
Trainer Flags	Overview of the available Lightning `Trainer` flags