Update index.rst

doc/index.rst

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 Features
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-* pyrenn allows to create a wide range of (recurrent) neural network topologies
+* pyrenn allows to create a wide range of (recurrent) neural network configurations
 * It is very easy to create, train and use neural networks
 * It uses the `Levenberg–Marquardt algorithm`_ (a second-order Quasi-Newton optimization method) for training, which is much faster than first-order methods like `gradient descent`_. In the matlab version additionally the `Broyden–Fletcher–Goldfarb–Shanno algorithm`_ is implemented
 * The python version is written in pure python and numpy and the matlab version in pure matlab (no toolboxes needed)