퀴즈 · 4 questions

🛡️ Stability, Regularization, Training 작동시키기

Overfitting, curve, normalization, residual

Level 0Curious

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01Which loss-curve shape is the textbook signal of overfitting?

02Which normalization is the canonical choice inside transformer blocks?

03Why are residual connections y = x + f(x) the single most important trick for very deep networks?

04What's the right pattern for mixed-precision training with FP16 and gradient clipping?

Hint

Read the AMP docs end-to-end once — the order of scaler operations is non-obvious.

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