Can AI learn using calculus? Yes, through derivatives!
The derivative f'(x) is simply the slope. AI uses this slope to know which direction reduces its error (loss), then adjusts its weights step by step. That’s gradient descent, the core of how neural networks learn.
Bagaimana AI belajar? Turunan (derivative) = kemiringan. AI memakai kemiringan ini untuk tahu ke arah mana error mengecil, lalu memperbarui bobotnya sedikit demi sedikit. Inilah gradient descent, inti dari cara neural network belajar.
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