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README: add extra sentence to aid clarity
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@ -226,7 +226,7 @@ If you can think of any other convolutional filters that would be useful, please
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The width and height (if specified) refer to the dimensions of the kernel and must be odd integers and are separated by a single comma (and _no_ space). If the height is not specified, it defaults to the width. If using the `gaussian` kernel, the width and height must be identical. Larger kernels are slower, but produce a more smoothed effect and take more nearby nodes into account for every column. Defaults to a 5x5 kernel.
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The width and height (if specified) refer to the dimensions of the kernel and must be odd integers and are separated by a single comma (and _no_ space). If the height is not specified, it defaults to the width. If using the `gaussian` kernel, the width and height must be identical. Larger kernels are slower, but produce a more smoothed effect and take more nearby nodes into account for every column. Defaults to a 5x5 kernel.
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The sigma value is only applicable to the `gaussian` kernel, and can be thought of as the 'smoothness' to apply. Greater values result in more smoothing. Default: 2
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The sigma value is only applicable to the `gaussian` kernel, and can be thought of as the 'smoothness' to apply. Greater values result in more smoothing. Default: 2. See the [Gaussian blur](https://en.wikipedia.org/wiki/Gaussian_blur) page on Wikipedia for some pictures showing the effect of the sigma value.
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```
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```
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//convolve
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//convolve
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