They teach you how to efficiently use (two kinds of) hammers and what nails to knock 1. ConvNet (for images and structured data) 2. RNN (for text and sequence

They teach you how to efficiently use (two kinds of) hammers and what nails to knock 1. ConvNet (for images and structured data) 2. RNN (for text and sequence data). They don't teach you far advanced stuff, like how to creatively misuse the hammers to knock different nails (example: using ConvNet, tweak as causal convolution to handle sequence data)