lightning/notebooks
edenlightning 53f14391da
Rename distributed_backend to accelerator in examples (#4657)
* Rename distributed_backend to accelerator

* Update submit_ddp2_job.sh

* Update 05-trainer-flags-overview.ipynb

Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-11-15 15:47:14 +01:00
..
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 Rename distributed_backend to accelerator in examples (#4657) 2020-11-15 15:47:14 +01:00
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. 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