Quiz · 4 questions
🛡️ Stability, Regularization, and Making Training Work
Overfitting, curves, normalization, residuals
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Quiz
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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