+**Neural Pruning** is a technique in [Machine Learning](/wiki/machine_learning) that refines [Neural Networks](/wiki/neural_networks) by removing redundant connections or neurons. This process slims down models, reducing computational cost and memory usage while often maintaining or even improving performance.
+## See also
+- [Model Compression](/wiki/model_compression)
+- [Sparsity](/wiki/sparsity)
+- [Deep Learning](/wiki/deep_learning)
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