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Merge branch 'master' of https://github.com/seg/tutorials-2018
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1808_Neural_Networks/README.md

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# Neural Networks
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This tutorial serves as a deep look at the simplest of neural networks, the multilayer perceptron. The [manuscript notebook](https://github.com/seg/tutorials-2018/blob/master/1808_Neural_Network/manuscript.ipynb) uses no dependencies other than [Numpy](http://www.numpy.org/) to build up a neural network, train it to approximate a sine function, and then predict values inside (and outside) the domain of interest, [0, 2$\pi$].
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This tutorial serves as a deep look at the simplest of neural networks, the multilayer perceptron. The [manuscript notebook](https://github.com/seg/tutorials-2018/blob/master/1808_Neural_Network/manuscript.ipynb) uses no dependencies other than [Numpy](http://www.numpy.org/) to build up a neural network, train it to approximate a sine function, and then predict values inside (and outside) the domain of interest, [0, 2 $\pi$].
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There's a code block which uses [tqdm](https://pypi.org/project/tqdm/) to render a progress bar to screen during training. To install tqdm:
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