I may be having some misunderstanding here, but with a large enough set of random intermediate layers, wouldn't yet expect that some of the connections would ac

I may be having some misunderstanding here, but with a large enough set of random intermediate layers, wouldn't yet expect that some of the connections would accidentally be really good signal carriers, and that by training the last layer, you're basically training it to find the good signal carriers in between all the noise?