Neural Network type conversion problem

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So Im basically trying to make a neural network that tells if a defined set of points (vector2s) are in a line. The thing is that I want to end the output with a confidence of how "liny" it is and my first node is a list of vector2. How can I start with vector2 and end in a float? Or is there a logical way to convert a v2 to a float?

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Answer by Kishotta · Sep 24, 2017 at 06:13 AM

While you could possibly do this with an ANN, you could also search for a C# Linear Algebra or Statistics library and use linear regressions to solve this with considerably less time and effort.

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Guy_Yome · Sep 24, 2017 at 06:42 AM 0

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Well, I wanna see if its a line just as my first try at neural networks. Could have chosen to look like face or something else.

Kishotta Guy_Yome · Sep 24, 2017 at 06:51 AM 0

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If you've never made an ANN, you might look at $$anonymous$$NIST. It's sorta the "Hello World" of neural nets.

Guy_Yome Kishotta · Sep 24, 2017 at 03:50 PM 0

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So in my case I could maybe normalize the vectors and use the distance between the most distant points as the value of a particular node. Right?

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Neural Network type conversion problem

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