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Another update to the README cleaning up feature support after PyLear…
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…n2 removal.
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alexjc committed Nov 17, 2015
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Expand Up @@ -14,11 +14,9 @@ Features

Thanks to the underlying ``Lasagne`` implementation, this library supports the following neural network features, which are exposed in an intuitive and `well documented <http://scikit-neuralnetwork.readthedocs.org/>`_ API:

* **Activation Functions —**
* Nonlinear: ``Sigmoid``, ``Tanh``, ``Rectifier``, ``Maxout``.
* Linear: ``Linear``, ``Gaussian``, ``Softmax``.
* **Activation Functions —** ``Sigmoid``, ``Tanh``, ``Rectifier``, ``Softmax``, ``Linear``.
* **Layer Types —** ``Convolution`` (greyscale and color, 2D), ``Dense`` (standard, 1D).
* **Learning Rules —** ``sgd``, ``momentum``, ``nesterov``, ``adadelta``, ``adagrad``, ``rmsprop``.
* **Learning Rules —** ``sgd``, ``momentum``, ``nesterov``, ``adadelta``, ``adagrad``, ``rmsprop``, ``adam``.
* **Regularization —** ``L1``, ``L2`` and ``dropout``.
* **Dataset Formats —** ``numpy.ndarray``, ``scipy.sparse``, coming soon: iterators.

Expand All @@ -28,7 +26,7 @@ If a feature you need is missing, consider opening a `GitHub Issue <https://gith
Installation & Testing
----------------------

A) Download Latest Release (Recommended)
A) Download Latest Release [Recommended]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

If you want to use the latest official release, you can do so from PYPI directly::
Expand All @@ -37,7 +35,7 @@ If you want to use the latest official release, you can do so from PYPI directly

This will install a copy of `Lasagne` too as a dependency. We recommend you use a virtual environment for Python.

B) Pulling Repositories (Optional)
B) Pulling Repositories [Optional]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

You'll need to first install some dependencies manually
Expand All @@ -61,7 +59,7 @@ Then, you can run the samples and benchmarks available in the ``examples/`` fold

.. image:: docs/console_tests.png

We strive to maintain 100% test coverage for all code-paths, to ensure that rapid changes in the underlying ``pylearn2`` library are caught automatically.
We strive to maintain 100% test coverage for all code-paths, to ensure that rapid changes in the underlying backend libraries are caught automatically.


Demonstration
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