Architecture tutorials
======================

Build and train dense networks, convolutional networks, recurrent networks,
transformers, autoencoders, and GANs. Each notebook includes the architecture,
training workflow, evaluation, and saved outputs, and can be downloaded to run locally.

.. toctree::
   :maxdepth: 1
   :titlesonly:

   ../notebooks/titanic_dense
   ../notebooks/mnist_cnn
   ../notebooks/rnn_forecasting
   ../notebooks/lstm_forecasting
   ../notebooks/character_transformer
   ../notebooks/mnist_autoencoder
   ../notebooks/fashion_mnist_gan

Notebook downloads
------------------

* :download:`MLP: Titanic Classification <../notebooks/titanic_dense.ipynb>`
* :download:`CNN: MNIST Classification <../notebooks/mnist_cnn.ipynb>`
* :download:`RNN: Seasonal Temperature Forecasting <../notebooks/rnn_forecasting.ipynb>`
* :download:`LSTM: Market Volatility Forecasting <../notebooks/lstm_forecasting.ipynb>`
* :download:`Transformer: Language Modeling <../notebooks/character_transformer.ipynb>`
* :download:`Autoencoder: MNIST Reconstruction <../notebooks/mnist_autoencoder.ipynb>`
* :download:`GAN: Fashion-MNIST Generation <../notebooks/fashion_mnist_gan.ipynb>`