퀴즈 · 4 questions

🧠 Deep Learning 왜?

Representation, scale, 그리고 안 쓸 때

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01When does deep learning typically earn its cost over classical ML?

Hint

Think about which corner of the data forces you to learn features.

02Why is establishing a baseline before training a neural network considered an adult engineering move?

03Which of these checkpoints is hardest to trust in production?

04Which deep-learning primitive survives even when a particular framework or architecture goes out of fashion?

Hint

What concept appears unchanged in PyTorch, JAX, TensorFlow, and MLX?

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