A fully connected layer refers to a neural network in which each input node is connected to each output node. In a convolutional layer, not all nodes are connected. Here’s what you need to know.
Cohen’s kappa is a quantitative measure of reliability for two raters that are evaluating the same thing. Here’s what you need to know and how to calculate it.
