MrUnderBridje

You always have to start somewhere.

> The point is that you don't need any software layers at all to code up a basic neural network implementation.

I grafted my answer to the wrong post, I meant to respond to the guy talking about the project implicitely using Numpy.

Offtopic remark: It would be nice to be able to move a post to a different thread, or make a single answer to several messages.

You always have to start somewhere. Do you want to code all the OS from the ground up, or do you have minimal expectations about the environment your software will run on? Do you want to look at all the tiny details, or do you wish to focus on a specific aspect of the problem? The article author could also give an explanation of linear algebra, but I guess he expects the reader to be familiar with this part of the problem.

I guess that there's always a software layer which may be considered "backbone". For people designing networks, all the tedious work of building the network is just plumbing, and they probably expect it to be automated from a formal description of the network.

Err, the 'n' resembles 'η' (the greek letter eta). The 'W' looks like 'Λ' (a capital alpha with quotes). Maybe there are other confusing similarities. I wouldn't use that font for maths, if it means I end up remembering an incorrect formula.