lightning/notebooks
Nathan Raw efec8c7c88
add trainer flags nb (#4018)
*  add trainer flags nb

* fix typos

* fix typos

Co-authored-by: edenlightning <66261195+edenlightning@users.noreply.github.com>
2020-10-10 06:10:47 -04:00
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01-mnist-hello-world.ipynb prune Results usage in notebooks (#3911) 2020-10-06 16:57:56 -04:00
02-datamodules.ipynb prune Results usage in notebooks (#3911) 2020-10-06 16:57:56 -04:00
03-basic-gan.ipynb add lightning colab tutorial notebooks (#3591) 2020-09-21 19:31:59 -06:00
04-transformers-text-classification.ipynb prune Results usage in notebooks (#3911) 2020-10-06 16:57:56 -04:00
05-trainer-flags-overview.ipynb add trainer flags nb (#4018) 2020-10-10 06:10:47 -04:00
README.md add trainer flags nb (#4018) 2020-10-10 06:10:47 -04:00

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. 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