Understanding darknet's yolo.cfg config files

Question

I have searched around the internet but found very little information around this, I don\'t understand what each variable/value represents in yolo\'s .cfg files. So

Answer 1

batch the number of images chosen in each batch to reduce loss

subdivisions division of batch size to no. of sub batches for parallel processing

decay is a learning parameter and as specified in the journal a momentum of 0.9 and decay of 0.0005 is used

momentum is a learning parameter and as specified in the journal a momentum of 0.9 and decay of 0.0005 is used

channels Channels refers to the channel size of the input image(3) for a BGR image

filters the number of filters used for a CNN algorithm

activation the activation function of CNN: mostly Leaky RELU function is used ( what i have seen mostly in the configuration files)