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* a Python package `mlp`, a [NumPy](http://www.numpy.org/) based neural network package designed specifically for the course that students will implement parts of and extend during the course labs and assignments,
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* a series of [Jupyter](http://jupyter.org/) notebooks in the `notebooks` directory containing explanatory material and coding exercises to be completed during the course labs.
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## Remote working
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If you are working remotely, follow this [guide](notes/remote-working-guide.md).
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## Getting set up
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Detailed instructions for setting up a development environment for the course are given in [this file](notes/environment-set-up.md). Before starting to set up the environment make sure you are remotely connetced to the Informatics Network and the dice machine by following this [guide](notes/remote-working-guide.md) if you are working on the DICE (highly recommended) and not your personal machine. Students doing the course will spend part of the first lab getting their own environment set up.
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Detailed instructions for setting up a development environment for the course are given in [this file](notes/environment-set-up.md). Students doing the course will spend part of the first lab getting their own environment set up.
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