> Now, it has become easier to train a model such as a neural net where you can provide much 'rawer' data; similarly you just provide it a 'goal' in the form of

> Now, it has become easier to train a model such as a neural net where you can provide much 'rawer' data; similarly you just provide it a 'goal' in the form of a loss function which it tries to optimize over the dataset. "just". Where is the mention of all of decisions on network size, node topologies, regularization, optimization methods, etc.. And you still have to do your first step. Deep learning is way more complex than just choosing a loss function.