Model Pruning
Model pruning is a technique that removes redundant or low-impact parameters from a trained neural network, reducing its size and computational cost while aiming to preserve accuracy.
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Glossary Terms(3)
Model Distillation
Model distillation is a technique for training a smaller, faster "student" model to replicate the behavior of a larger, more capable "teacher" model, transferr…
Model Quantization
Model quantization is a technique that reduces the numeric precision used to represent a model's weights and activations, shrinking its size and speeding up in…
Model Pruning
Model pruning is a technique that removes redundant or low-impact parameters from a trained neural network, reducing its size and computational cost while aimi…