Understanding Neural Network, Visually

helloplanets 2 minutes ago | parent | next [-]

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

esafak an hour ago | parent | prev | next [-]

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.

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brudgers a day ago | parent | prev | next [-]

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

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4fterd4rk 2 hours ago | parent | prev [-]

Great explanation, but the last question is quite simple. You determine the weights via brute force. Simply running a large amount of data where you have the input as well as the correct output (handwriting to text in this case).

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ggambetta 42 minutes ago | parent [-]

"Brute force" would be trying random weights and keeping the best performing model. Backpropagation is compute-intensive but I wouldn't call it "brute force".

	▲	Ygg2 19 minutes ago \| parent [-]
		"Brute force" here is about the amount of data you're ingesting. It's no Alpha Zero, that will learn from scratch.