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Data preprocessing is a data mining technique that involves transforming raw data into a better understandable or more useful format.

1 vote
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Use heading in Neural Network model

You could break the heading ($\theta$) into components: $sin(\theta)$ and $cos(\theta)$, which would remove the modulo problem.
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10 votes

Image resizing and padding for CNN

You have a few options: For Small Images: upsample through interpolation pad the image using zeros If you are unable to maintain the aspect ratio via upsampling, you can upsample and also crop th …
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7 votes
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Data preprocessing: Should we normalise images pixel-wise?

This article does a great job of explaining CNN preprocessing. … The resultant normalization appears as such: Normalizing the input images is widely used and often considered an essential preprocessing step. …
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