One feature-map cell is a dot product between one image patch and the kernel. The walkthrough pins the products and running sum.
highlighted = computed this step
One patch meets the kernel
For one output cell, the kernel lines up with one image patch. Multiply matching entries and add the products. The displayed walkthrough pins every product and every running sum.
output cell=∑kernel entry⋅patch entry
The exact cell value
For the upper-right patch, the recomputed dot product is -6. This patch makes the subtraction terms visible because the right image column contributes nonzero values.
upper-right output=−6
Summary
A convolution cell is just a dot product between a visible patch and a visible kernel. There is no float and no hidden approximation in this step.