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For questions related to features in the context of machine learning and, in general, AI.
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How do neural networks weigh multiple inputs/features of different dimensionality?
I am confused about how neural networks weigh different features or inputs.
Consider this example. I have 3 features/inputs: an image, a dollar amount, and a rating. … Will the $16384$ 'features' representing the image completely overwhelm the other 2 features that are the dollar amount and rating? …