I'm new to the field. What makes you say that shallow and deep networks have equivalent accuracy? Is there a recent publication/experiment I missed? Thanks!
Disclosure: I contributed to the linked work.
To do simple tasks, you don’t even need neural networks, in short. If you want to do complex tasks, training the neural net isn’t the problem, but a NN can indeed represent more than say a linear policy. The issue is getting the NN to do the complex thing correctly: it’s more of an exploration problem than function approximation problem.
Ssh! We've got a gold rush to maintain.