Neural Network Pruning

Definitions

1. The removal of weights, neurons, or connections from a neural network to make it smaller or more efficient while trying to preserve performance. Pruning is one way to reduce inference cost and model size.

   In plain English: Removing parts of a neural network to make it smaller or faster.

   Example: "The mobile deployment relied on neural network pruning to fit the model inside the device's memory budget."

Related Terms

• Backpropagation
• AI Efficiency
• AI Optimization
• AI Tuning
• Embedding Layer
• Inference Optimization
• Neural Compression
• Objective Function
• Reward Engineering
• Score Function
• Training Dynamics