It was high level enough, and got me to understand enough, to get me to a point where I could start trying to build a side-project, without exposing me to the deeper math behind Neural Nets.
It was a great starting point without being overwhelming. Now I feel that I have the option to either go deeper if I need to, or go wider.
I find Andrew Ng to be an amazing teacher - explains things simply, clearly, and in a way that I find super easy to understand.
It starts out reaaaally basic but give a thorough grounding of the maths and the intuition behind it.
They believe (and have research backing them up), that the way we teach math (base and rote concepts, building until you can understand something complex) is sub-optimal. They dive into the code and get stuff done, then later bubble back up for concepts.
For me, it was bewildering at first, but if you can trust your instructor, you trust they won't leave you stranded. (It does also require the type of student who does a lot of study on their own!)
I agree - it's a great introduction, and I learned a ton from it (and it answered a ton of questions I had until then).
Fantastic course though.