Week3 Convolutional Implementation of Sliding Windows Video

In week 3, within Convolutional Implementation of Sliding Windows Video, Andrew describes how to convert fully connected layers into convolutional layers.

In later videos, the motivation for this becomes clear when we do this for multiple “slides” that some of these computations are shared leading to computational efficiencies.

However, if there was only 1 window i.e. 1 pass, does convolutional approach offer computational benefit over the Fully Connected dense layer approach?

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