Lovely visualization. I like the very concrete depiction of middle layers "recognizing features", that make the whole machine feel more plausible. I'm also a fan of visualizing things, but I think its important to appreciate that some things (like 10,000 dimension vector as the input, or even a 100 dimension vector as an output) can't be concretely visualized, and you have to develop intuitions in more roundabout ways.

I hope make more of these, I'd love to see a transformer presented more clearly.

For the visual learners, here's a classic intro to how LLMs work: https://bbycroft.net/llm

This is just scratching the surface -- where neural networks were thirty years ago: https://en.wikipedia.org/wiki/MNIST_database

If you want to understand neural networks, keep going.

As someone who does not use Twitter, I suggest adding RSS to your site.

The original Show HN, https://news.ycombinator.com/item?id=44633725

Oh wow, this looks like a 3d render of a perceptron when I started reading about neural networks. I guess essentially neural networks are built based on that idea? Inputs > weight function to to adjust the final output to desired values?

I love this visual article as well:

https://mlu-explain.github.io/neural-networks/

I like the style of the site it has a "vintage" look

Don't think it's moire effect but yeah looking at the pattern

Spent 10 minutes on the site and I think this is where I'll start my day from next week! I just love visual based learning.

This visualizations reminds me of the 3blue1brown videos.