Dynamic neurons: A statistical physics approach for analyzing deep
neural networks
Dynamic neurons: A statistical physics approach for analyzing deep
neural networks
Deep neural network architectures often consist of repetitive structural elements. We introduce a new approach that reveals these patterns and can be broadly applied to the study of deep learning. Similar to how a power strip helps untangle and organize complex cable connections, this approach treats neurons as additional degrees …