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vjeux | 2 years ago

If you have points in a 2d space (a sheet of paper) and you want to separate them into two, you can draw a line between the two. The equation of a line is y = ax + b.

This is the equation of a neuron is you squint.

So if you chain a bunch of neurons, you are basically drawing a bunch of lines to test whether points belong or not.

With enough lines you can approximate any shape, like a circle.

What neural network do is given enough examples, it finds the lines that are needed to separate the points to give the appropriate label.

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