I have images with white background and drawn lines of 2 types — horizontal and vertical ones. So I have created 20 images of each type for training network and later want my network to indentify which type of line is drawn.
So, I read pixel data from images and get a matrix. What is the best network structure to go further? Should I create a neuron for each pixel, or I have to reduce somehow that data to some standart size? Any advices are welcome =)
Thanks!
Hmm yea neuron for each pixel would work 😁
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