# Examples
Our most robust examples showing all sorts of implementations
can be found in our sister library [PyTorch-Lightning-Bolts](https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2).

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## Basic examples
In this folder we add 3 simple examples:

* [MNIST Classifier](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pl_examples/basic_examples/simple_image_classifier.py) (defines the model inside the `LightningModule`).
* [Image Classifier](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pl_examples/basic_examples/backbone_image_classifier.py) (trains arbitrary datasets with arbitrary backbones).
* [Autoencoder](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pl_examples/basic_examples/autoencoder.py) (shows how the `LightningModule` can be used as a system)

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## Domain examples
This folder contains older examples. You should instead use the examples
in [PyTorch-Lightning-Bolts](https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2)
for advanced use cases.