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Deep Learning Course
================================================
Deep learning through examples - this is the phylosophy of this course. 
We introduce data science, machine learning and neural networks in applied tutorials.
This course is based on python notebooks and learning by examples.
Have fun learning - never stop learning.


People
------
- Instructor
   + `Eugenio Culurciello <https://culurciello.github.io>`_ (`culurciello website`)
- TAs
   + TBD (``TBD AT purdue DOT edu``)

Useful links
-------------
- `tbd <https://tbd/>`_ (used for tbd)

.. toctree::
   :maxdepth: 1
   :caption: 🚀 Introduction:

   lectures/0-intro-phyl.ipynb

.. toctree::
   :maxdepth: 1
   :caption: 📚 Lectures:

   lectures/01-what-is-ML.ipynb
   lectures/02-tensors-pytorch.ipynb
   lectures/03-tensor-data.ipynb
   lectures/04-types-learning.ipynb
   lectures/05-function-approx.ipynb
   lectures/10-neurons.ipynb
   lectures/11-simplest-neural-net.ipynb
   lectures/12-binary-net-pytorch-manual.ipynb
   lectures/13-xnor.ipynb
   lectures/14-backpropagation.ipynb
   lectures/15-binary-net-pytorch.ipynb
   lectures/16-datasets.ipynb
   lectures/17-full-train_script_pytorch.ipynb
   lectures/18-curve-fit.ipynb
   lectures/19-nn-what-next.ipynb
   lectures/20-seq-1i.ipynb
   lectures/21-seq-multi-i.ipynb
   lectures/22-seq-cnn-1d.ipynb
   lectures/23-seq-tinyattention.ipynb
   lectures/30-transformers-basics.ipynb
   lectures/31-transformers-network.ipynb
   lectures/32-transformers-example.ipynb
   lectures/35-rnn.ipynb
   lectures/36-rnn-example.ipynb
   lectures/40-conv-layer.ipynb
   lectures/41-conv-size-your-data.ipynb
   lectures/42-conv-cifar10-tutorial.ipynb
   lectures/43-dataloaders.ipynb
   lectures/44-fixing-first-example.ipynb
   lectures/45-labeling-data.ipynb
   lectures/50-tips-tricks.ipynb
   lectures/51-nn-building.ipynb
   lectures/52-nn-architectures.ipynb
   lectures/53-fine-tuning.ipynb
   lectures/60-unsupervised.ipynb
   lectures/61-generating-images.ipynb
   lectures/70-artificial-brains.ipynb
   lectures/80-RL-intro.ipynb
   lectures/81-RL-DQN.ipynb
   lectures/82-RL-PPO.ipynb

.. toctree::
   :maxdepth: 1
   :caption: 💓 Our instructor:

   lectures/0-eugenio.ipynb


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`