>bone densities differ by said category
>x-rays make images where pixel values are determined by density of objects in front of emitter
>neural networks take values like those in pixels of x-rays and perform matrix-vector operations with non-linear transformations to get some kind of surface
>for classification the surface is a boundary that divides data points into regions
>apply a filter which removes pixels based on frequency thresholds leaving behind some set of pixel values
>train neural network on x-ray pixel values to predict aforementioned categories
>"OMG HOW DOES IT DO THIS? MUST BE RACSIT!!!!!!!!!!"
is this the power of woketard researchers?
>x-rays make images where pixel values are determined by density of objects in front of emitter
>neural networks take values like those in pixels of x-rays and perform matrix-vector operations with non-linear transformations to get some kind of surface
>for classification the surface is a boundary that divides data points into regions
>apply a filter which removes pixels based on frequency thresholds leaving behind some set of pixel values
>train neural network on x-ray pixel values to predict aforementioned categories
>"OMG HOW DOES IT DO THIS? MUST BE RACSIT!!!!!!!!!!"
is this the power of woketard researchers?
