👉 In machine learning, a core residual connection (or core residual network) is a type of convolutional neural network architecture that uses a single layer of fully connected layers as its input. This means that each input to the network is fed into one or more output channels within this single-layered structure. The term "coresidual" in this context refers to the concept of using a core residual connection for both input and output, which allows for additional flexibility and efficiency in data processing and analysis tasks. Core
