Which of the following statements a), b) or c) about convolution is false?
A) Kernel-size is a tunable hyperparameter.
B) For each kernel position, the convolution layer performs mathematical calculations using the kernel features to "learn" about them, then outputs one new feature to the layer's output.
C) By looking at features near one another, the network begins to recognize features like edges, straight lines and curves.
D) All of the above statements are true.

Question

Quizplus · Accepted Answer

All the statements provided about convolution are true. Statement A correctly identifies kernel size as a tunable hyperparameter in convolutional neural networks (CNNs). Statement B accurately describes the process of applying the kernel to the input data to produce a feature map. Statement C correctly explains how CNNs can recognize spatial hierarchies in data, such as edges and curves, by examining features in proximity to one another.

Which of the Following Statements A), B) or C) About