How is backpropagation implemented in siamese networks

[gent.spah]

You can check this post, or other similar if you search:

Multi Output Regression: Multi Parameters?

Hi @Pere_Martra I saw this post and this is what I think about it in a previous post. Basically you have one set of weights for the main branch and 2 othes sets for each branch when it splits. How this is done, I always take a water flow in pipes analogy, one main branch splits in 2 other branches, the pressure is the same in the main branch but is different in splits (here the pressure can be anlogue to gradients/learned weights). The overall presure in each part of the systems is decided…