SO I'm looking at these two neural networks and walking through how the $ijk$ values of $\Theta$ correspond to the layer, the node number.
Either there are redundant values or I'm missing how the subscripts actually map from node to node.
$\Theta^i_{jk}$ ... where this is read as " Theta superscript i subscript jk "
As shown here:
It looks like the $\Theta$ value corresponding to the node circled in teal would be $\Theta^2_{12}$ ... where:
- superscript $i=2$ ( layer 2 )
- $j=1$ ( node number within the subsequent layer ? )
- $k=2$ ( node number within the current layer ? )
If I'm matching the pattern correctly I think the $j$ value is the node to the right of the red circled node ... and the $k$ value is the teal node...
Am I getting this right?
Because between the above image and this one:
That seems to be the case ... can I get a confirmation on this?