Question 1
We consider weight pruning. Which of the following are true?
[ ] (a) We learned in the previous lecture that a convolutional layer is an MMM. Under structured pruning, where whole filters are pruned from a convolutional layer, the MMM for this pruned convolution layer will have a reduced size for that layer's weight matrix. However, the subsequent layer's input tensor will not have a reduced size.
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Unstructured pruning:
非結構的剪枝只會將剪去的 weight 設置為 0,故對於模型的參數 (大小) 並無影響
Structured pruning:
下圖為 Kernel $n_{i+1}$ 剪去 $F_{i,j}$ 後對於 feature map $X_{i+1}$ 以及下一個 Kernel $n_{i+2}$ 的影響