• msage@programming.dev
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    9 months ago

    Because it doesn’t have branches, it has neurons - and A LOT of them.

    Each of them is tuned by the input data, which is a long and expensive process.

    At the end, you hope your model has noticed patterns and not doing stuff at random.

    But all you see is just weights on countless neurons.

    Not sure I’m describing it correctly though.