Residual block termination

Residual block termination typically refers to the design aspect of neural networks that utilize residual connections, most notably within architectures like ResNet (Residual Network). Residual blocks are designed to help train deep neural networks by allowing gradients to flow more easily through the network during backpropagation. ### Key Concepts: 1. **Residual Block**: A fundamental building block in ResNet, where the input to a layer is added to the output of one or more layers.