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In the image recognition algorithm, the structure design of the convolutional layer has a great impact on its performance. Which of the following statements are true about the structure and mechanism of the convolutional layer? (Transposed convolution is not considered.)
Correct Answer: A,B,C,D
The convolutional layer in CNNs is optimized for spatial feature extraction: * Local connectivity(A) reduces computation and memory usage. * Parameter sharing(B) reduces the number of learnable parameters and helps prevent overfitting. * Stride control(C) allows adjusting the output resolution and computational cost. * Sliding kernel operation(D) extracts local patterns without manual feature definition. Exact Extract from HCIP-AI EI Developer V2.5: "CNN convolutional layers leverage local connectivity, parameter sharing, and stride control to efficiently extract local features, reducing computational requirements compared to fully-connected layers." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Convolutional Neural Networks