Quiz · 5 questions
🔄 The Training Loop
From compile() to fit() to GradientTape — and why callbacks are non-negotiable
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Quiz
01Which callback combination most reliably prevents overfitting?
02Why must you call reset_state() on metrics each epoch in a custom training loop?
03AdamW differs from Adam primarily in that it:
04When should you write a custom training loop instead of model.fit()?
05What is the difference between model.predict(x) and model(x, training=False)?
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