lightning/notebooks
Rohit Gupta c7130b7e1e
Update with GitHub Discussions (#6186)
2021-02-25 00:28:23 +05:30
..
01-mnist-hello-world.ipynb fix docs links (#6057) 2021-02-18 18:40:07 +00:00
02-datamodules.ipynb fix docs links (#6057) 2021-02-18 18:40:07 +00:00
03-basic-gan.ipynb fix docs links (#6057) 2021-02-18 18:40:07 +00:00
04-transformers-text-classification.ipynb Update with GitHub Discussions (#6186) 2021-02-25 00:28:23 +05:30
05-trainer-flags-overview.ipynb Docs: move images (#5756) 2021-02-03 15:08:19 +00:00
06-mnist-tpu-training.ipynb Update with GitHub Discussions (#6186) 2021-02-25 00:28:23 +05:30
07-cifar10-baseline.ipynb fix docs links (#6057) 2021-02-18 18:40:07 +00:00
README.md Add TPU example (#5109) 2021-01-06 11:54:54 +01:00

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
TPU Training Train a model on MNIST using TPUs with Lightning Open In Colab
94% Baseline CIFAR10 Establish a quick baseline of ~94% accuracy on CIFAR10 using Resnet in Lightning Open In Colab