Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis

Pedram Bakhtiarifard, Sophia N. Wilson, Mahmoud Afifi +2

Training large-scale deep neural networks (DNNs) is resource-intensive, making model compression a practical necessity. The widely accepted ''learning as compression'' hypothesis p…