the lower levels are more fine-grain and detailed and high frequency so the deeper on that can be thought of as writing its own representations that every layer every successive there is written on top of the previous layer which is more abstract than the raw input and that allows you to do downstream tasks if you take the topmost layers so here's the Venn diagram that being good for suggests for deeper how to think about deep learning so deep learning is a subset of representation learning which is a subset of machine