Explanation size of weights array Encoder about aogmaneo HOT 3 CLOSED

Hi,

Thank you for your interest in AOgmaNeo!

The weight matrix represents local receptive fields, so each cell has a receptive field area (the same area for all cells in a hidden column), where each column in that area has input/visible cells.

Put another way, each hidden cell has a 3D volume of input/visible cells it is connected to. Keep in mind that columns are either full connected to each other or not at all - so it's the chosen area that is the selective part. That's why the 3D volume is area * vld.size.z, so it spans some area of columns but full columns (full coverage across the visible column dimension).

I hope this makes sense!

from aogmaneo.

Thanks for the reply but it is not entirely clear to me yet. The part that each hidden cell has a 3D volume of input/visible cells I get and I think that is taken care of by $\text{number of hidden cells} \times area$.

What I don't get yet is the part about the full connected to each other or not and how this relates to the multiplying with the number of cells in a column.

from aogmaneo.

Had another thorough look and I got it. Thanks for the clarification.

from aogmaneo.