Backpropagation is the core learning algorithm in AI where neural networks run through data, evaluate results, and when errors occur, trace back to identify where mistakes happened and adjust accordingly, enabling continuous improvement through repeated learning from failures.
Deep Dive
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What AI Can Teach You About Failure #shorts #podcastHinzugefügt:
I win or I learn. The core of AI technology is the thing called backpropagation. Backpropagation is so you basically run the epoch and then it lets to the result and then it learns that like result is right or wrong. But then if it's a wrong it goes backwards and tries to understand where that wrong thing happened and try to adjust sort of but the idea is like you can adjust in your mind like what you would do differently, where the mistake was made and kind of next time when you go through the similar experience you already kind of a little bit better.
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