I realise, but since a lot more gets written about steepest descent than everything else, it also gets implemented and used a lot more often, even when other alternatives are readily available and already implemented. For example, the trainscg method of Matlab is relatively obscure thus unused and not frequently re-implemented.
There's an implicit endorsement in these blog posts. People wouldn't be spilling all this ink nowadays on plain adalines, even if they're building blocks for backprop networks, right? So by writing so much about it, people get the impression that it has to be studied and implemented very carefully, to the exclusion of better methods.
There's an implicit endorsement in these blog posts. People wouldn't be spilling all this ink nowadays on plain adalines, even if they're building blocks for backprop networks, right? So by writing so much about it, people get the impression that it has to be studied and implemented very carefully, to the exclusion of better methods.