Package: kur
.. _Tutorial: https://kur.deepgram.com/tutorial.html******************************Kur: Descriptive Deep Learning******************************Introduction============Welcome to Kur! You've found the future of deep learning!- Install Kur easily with ``pip install kur``.- Design, train, and evaluate models *without ever needing to code*.- Describe your model with easily understandable concepts.- Quickly explore better versions of your model with the power of the `Jinja2<http://jinja.pocoo.org>`_ templating engine.- Supports Theano, TensorFlow, and PyTorch, and supports **multi-GPU**out-of-the-box.- **COMING SOON**: Share your models with the community, making it incrediblyeasy to collaborate on sophisticated models.Go ahead and give it a whirl: `Get the Code`_ and then jump intothe `Examples`_! Then build your own model in our Tutorial_. Remember to checkout our `homepage <https://kur.deepgram.com>`_ for complete documentation andthe newest news.What is Kur?------------Kur is a system for quickly building and applying state-of-the-art deeplearning models to new and exciting problems. Kur was designed to appeal to theentire machine learning community, from novices to veterans. It usesspecification files that are simple to read and author, meaning that you canget started building sophisticated models *without ever needing to code*. Evenso, Kur exposes a friendly and extensible API to support advanced deep learningarchitectures or workflows. Excited? Jump straight into the `Examples`_... _get_the_code:Get the Code============Kur is really easy to install! You can pick either one of these two options forinstalling Kur.**NOTE**: Kur requires **Python 3.4** or greater. Take a look at our`installation guide <https://kur.deepgram.com/install.html>`_ forstep-by-step instructions for installing Kur and setting up a `virtualenvironment <https://virtualenv.pypa.io/>`_.Latest Pip Release------------------If you know what you are doing, then this is easy:.. code-block:: bashpip install kurLatest Development Release--------------------------Just check it out and run the setup script:.. code-block:: bashgit clone https://github.com/deepgram/kurcd kurpip install .**Quick Start**: Or, if you already have `Python 3 installed<https://kur.deepgram.com/installing.html>`_, then here's a few quick-startlines to get you training your first model:**Quick Start For Using pip:**.. code-block:: bashpip install virtualenv                      # Make sure virtualenv is presentvirtualenv -p $(which python3) ~/kur-env    # Create a Python 3 environment for Kur. ~/kur-env/bin/activate                    # Activate the Kur environmentpip install kur                             # Install Kurkur --version                               # Check that everything worksgit clone https://github.com/deepgram/kur   # Get the examplescd kur/examples                             # Change directorieskur train mnist.yml                         # Start training!**Quick Start For Using git:**.. code-block:: bashpip install virtualenv                      # Make sure virtualenv is presentvirtualenv -p $(which python3) ~/kur-env    # Create a Python 3 environment for Kur. ~/kur-env/bin/activate                    # Activate the Kur environmentgit clone https://github.com/deepgram/kur   # Check out the latest codecd kur                                      # Change directoriespip install .                               # Install Kurkur --version                               # Check that everything workscd examples                                 # Change directorieskur train mnist.yml                         # Start training!Usage-----If everything has gone well, you shoud be able to use Kur:.. code-block:: bashkur --versionYou'll typically be using Kur in commands like ``kur train model.yml`` or ``kurtest model.yml``. You'll see these in the `Examples`_, which iswhere you should head to next!Troubleshooting---------------If you run into any problems installing or using Kur, please check out our`troubleshooting <https://kur.deepgram.com/troubleshooting.html>`_ page forlots of useful help. And if you want more detailed installation instructions,with help on setting up your environment, before sure to see our `installation<https://kur.deepgram.com/installing.html>`_ page.