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edited Jun 5, 2018 at 14:05Here is my current understanding of some of the variables. Not necessarily correct though:
[net]
batch: That many images+labels are used in the forward pass to compute a gradient and update the weights via backpropagation.
subdivisions: The batch is subdivided in this many "blocks". The images of a block are ran in parallel on the gpu.
decay: Maybe a term to diminish the weights to avoid having large values. For stability reasons I guess.
channels: Better explained in this image :
On the left we have a single channel with 4x4 pixels, The reorga...
Content Under CC-BY-SA license darknet/cfg/yolov3.cfg at master · pjreddie/darknet - GitHub
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