Dynamic neural network

This mind map provides an insightful overview of 'Dynamic Neural Network,' a concept crucial in advancing modern artificial intelligence. It explores the dynamic architecture of neural networks, including techniques like cascading, early exiting, layer skipping, and dynamic pruning, which enhance flexibility and efficiency. The map also delves into dynamic parameters, focusing on convolution kernels, linear transformations, and activation functions. Furthermore, it highlights dynamic input processing for both image and sequence inputs. Training methodologies such as reinforcement learning and knowledge distillation are discussed, alongside applications in computer vision and natural language processing. Lastly, it addresses challenges like storage demands and stability.