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README.md

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+ [Data format](#data-format)
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+ [Training Options](#training-options)
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- [Methods](#methods)
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+ [`train`](#-train-)
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+ [train](#train)
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- [Failing](#failing)
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- [JSON](#json)
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- [Options](#options)
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The learning rate is a parameter that influences how quickly the network trains. It's a number from `0` to `1`. If the learning rate is close to `0` it will take longer to train. If the learning rate is closer to `1` it will train faster but it's in danger of training to a local minimum and performing badly on new data.(_Overfitting_) The default learning rate is `0.3`.
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# Methods
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### `train`
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### train
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The output of `train()` is a hash of information about how the training went:
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```javascript

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