How does machine-learning deal with multi-dimensional data?
<p>I undertand how the weighting of different inputs and how it's used to calculate the cost, basically this:</p>

<p><a href="https://i.stack.imgur.com/XozoI.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/XozoI.png" alt="enter image description here"></a></p>

<p>and also how it can be used to do deeper networks, but how would a network deal with something like an rgb-image, where some data is inheritly bundled together?</p>