Foundations -> Utilities Errors and questions about madewithml

[GokuMohandas]

1. good catch. I was fixing notations and missed this one.
2. fixed them all.
3. I definitely need to go fix all of these. I'll be removing that apply_softmax flag all together and just using z and y_prob to differentiate between logits and probabilities (softmax applied to logits). I'll moved softmax outside of the forward pass. I started doing this in the MLOps lessons but haven't gone back and edited these yet or I replaced just a few of them. I'll at least update the webpage now since I'll be moving those directly into new notebooks this winter.
4. I'm using detach to break any gradient attachment since that cumulative loss doesn't need to be part of the computational graph for backprop. During eval, no gradient book keeping is done regardless.
5. I think this used to be required for a previous version of numpy that colab required. Basically using dtype object means your pointing to objects stored somewhere else instead of the objects directly. But for this version of numpy, you can remove it.
6. yup you got it. Necessary for X but I do it just for visual consistency but don't need it. I fixed this now in the webpage and will change notebooks this winter.