Is there a "feel" to neural networks? You define a bunch of hidden/latent variables connected in an array (or multiple arrays), then perform a heuristic search of the weight state space to minimize some error/energy function. Sometimes it works, often not.
I love how you're getting downvoted when the truth is NNs work well _only_ when you have a team of specialists to select their hyperparameters. There's a rich vein of research for AutoML to automatically learn the hyps.
