Dimensionality when using FCNN and showing bias nodes#27

Thanks for a great tool! :+1: When using the fully connected style and checking the "Show Bias Units" and "Show Layer Labels" the bias neurons are shown correctly. However, the dimensions of the labels are not changed. I would expect the dimensions to drop by 1, since these neurons are not contributing to the dimensionality (but just moving the hyperplane in the X dimensional space). For example a 5 neuron hidden layer without bias would be in `R ∈ 5` as shown, while the same hidden layer with the bias weight shown (where the connections are dropped in the illustration) would reside in `R ∈ 4`. Am I interpreting the illustration correct or am I missing something? Or is it simply that the labels aren't updated correctly? :slightly_smiling_face: