Deep Learning Fundamentals Assessment

What is the primary advantage of convolutional layers over fully connected layers for image data?

Faster training on CPUs Parameter sharing and local connectivity reducing parameter count Larger receptive fields per layer Elimination of activation functions

Correct Answer:

Parameter sharing and local connectivity reducing parameter count

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