Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.
Fair enough. I’m still at work so I’ve only skimmed these so far. I appreciate the feedback and links and I’ll definitely look into it more.
I completely agree that my critique isn’t focused enough. I slapped that comment together entirely too fast without much deeper thought involved. I have a very surface level understanding of this kinda stuff. Regardless, I do like sharing my opinion from an outsiders perspective. Mostly because I enjoy the discussion. It’s always an opportunity to learn something new, even if it ruffles a few feathers along the way. I know that whenever I’m super invested in a topic, no matter what it is, I sometimes get so soaked up in it all that I tend to ignore outside influences.
Fair enough. I’m still at work so I’ve only skimmed these so far. I appreciate the feedback and links and I’ll definitely look into it more.
I completely agree that my critique isn’t focused enough. I slapped that comment together entirely too fast without much deeper thought involved. I have a very surface level understanding of this kinda stuff. Regardless, I do like sharing my opinion from an outsiders perspective. Mostly because I enjoy the discussion. It’s always an opportunity to learn something new, even if it ruffles a few feathers along the way. I know that whenever I’m super invested in a topic, no matter what it is, I sometimes get so soaked up in it all that I tend to ignore outside influences.