Edits to logistic regression tutorial for improved clarity.

This is confusing, as it could mean that, for every minibatch, we loop over the examples of that batch, which is not what we do.
You could say something like "The entire learning algorighm thus consists in looping over all examples in the dataset, considering all the examples in one minibatch at a time, and repeatedly calling the ``train_model`` function."