Neural Enhance
==============
.. image:: docs/OldStation_example.gif
**Example #1** — Old Station: `view comparison <http://enhance.nucl.ai/w/0f5177f4-9ce6-11e6-992c-c86000be451f/view>`_ in 24-bit HD, `original photo <https://flic.kr/p/oYhbBv>`_ CC-BY-SA @siv-athens.
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`As seen on TV! <https://www.youtube.com/watch?v=LhF_56SxrGk>`_ What if you could increase the resolution of your photos using technology from CSI laboratories? Thanks to deep learning and ``#NeuralEnhance``, it's now possible to train a neural network to zoom in to your images at 2x or even 4x. You'll get even better results by increasing the number of neurons or training with a dataset similar to your low resolution image.
The catch? The neural network is hallucinating details based on its training from example images. It's not reconstructing your photo exactly as it would have been if it was HD. That's only possible in Hollywood — but using deep learning as "Creative AI" works and it is just as cool! Here's how you can get started...
1. `Examples & Usage <#1-examples--usage>`_
2. `Installation <#2-installation--setup>`_
3. `Background & Research <#3-background--research>`_
4. `Troubleshooting <#4-troubleshooting-problems>`_
5. `Frequent Questions <#5-frequent-questions>`_
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