Definition
A model compression technique that reduces the size and complexity of a neural network by permanently removing connections or entire neurons deemed unnecessary or low-contributing.
In short: A model compression technique that reduces the size and complexity of a neural network by permanently removing connections or entire neurons deemed unnecessary or low-contributing.