퀴즈 · 4 questions

🧩 Neuron, Layer, Forward Pass

Linear map 에서 output head 까지

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01Why do you need a non-linear activation between every two linear layers?

02Which of these is the RIGHT default for the output of a multi-class classifier in PyTorch?

Hint

Read the docstring of CrossEntropyLoss — it tells you exactly what input it expects.

03What is the safest mental model for the relationship between width and depth?

04What is the shape of nn.Linear(in_features=20, out_features=5)'s weight tensor in PyTorch's convention?

Hint

Inspect linear.weight.shape in a REPL and confirm.

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