List of deep learning layers this page provides a list of deep learning layers in matlab ® To learn how to create networks from layers for different tasks, see the following examples. Convolution is a mathematical operation that combines two signals and outputs a third signal See how convolution is used in image processing, signal processing, and deep learning. The layer convolves the input by moving the filters along the input and computing the dot product of the weights and the input, then adding a bias term. This layer is sometimes incorrectly known as a deconvolution or deconv layer
This layer performs the transpose of convolution and does not perform deconvolution.
WATCH
