Modeling of Pruning Techniques for Simplifying Deep Neural Networks

Convolutional Neural Networks (CNNs) suffer from different issues such as computational complexity and the number of parameters. In recent years pruning techniques are employed to reduce the number of operations and model size in CNNs. Different pruning methods are proposed, which are based on pruning the connections, channels, and filters. Various techniques and tricks accompany pruning methods, and there is not a unifying framework to model …