index.rst

Deep Learning - The Straight Dope

This project contains an incremental sequence of notebooks designed to make learning machine learning, MXNet, and the gluon interface easy (meta-easy?). Our goal is to leverage the strengths of Jupyter notebooks to present prose, graphics, equations, and code together in one place. If we're successful, the result will be a resource that could be simultaneously a book, course material, a prop for live tutorials, and a resource for plagiarising (with our blessing) useful code. To our knowledge there's no source out there that teaches either (1) the full breadth of concepts in modern deep learning or (2) interleaves an engaging textbook with runnable code. We'll find out by the end of this venture whether or not that void exists for a good reason.

Throughout this book, we rely upon MXNet to teach core concepts, advanced topics, and a full complement of applications. MXNet is widely used in production environments owing to its strong reputation for speed. Now with gluon, MXNet's new imperative interface (alpha), doing research in MXNet is easy.

I've designed these tutorials so that you can traverse the curriculum in one of three ways.

• Anarchist - Choose whatever you want to read, whenever you want to read it.
• Imperialist - Proceed throught the tutorials in order (1, 2, 3a, 3b, 4a, 4b, ...). In this fashion you will be exposed to each model first from scratch, writing all the code ourselves but for the basic linear algebra primitives and automatic differentiation.
• Capitalist - If you would like to specialize to either the raw interface or the high-level gluon front end choose either (1, 2, 3a, 4a, ...) or (1, 2, 3b, 4b, ...) respectively.

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Crashcourse

   P01-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Introduction to Supervised Learning

   P02-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Deep Neural Networks

   P03-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Convolutional Neural Networks

   P04-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Recurrent Neural Networks

   P05-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Computer Vision

   P06-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: High-performance and distributed training

   P14-*

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: Developer Documents

   docs/*