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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
Accepted
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.
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 …
7
votes
Accepted
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. …