Machine Learning Q and AI

12FULLY CONNECTED AND CONVOLUTIONAL LAYERS

Under which circumstances can we replace fully connected layers with convolutional layers to perform the same computation?

Replacing fully connected layers with convolutional layers can offer advantages in terms of hardware optimization, such as by utilizing specialized hardware accelerators for convolution operations. This can be particularly relevant for edge devices.

There are exactly two scenarios in which fully connected layers and convolutional layers are equivalent: when the size of the convolutional filter is equal to the size of the receptive field and when the size of the convolutional filter ...