Deployment & Inference · Level 3 of 5
Model Compression
Reducing a model's storage or execution requirements.
Compression methods trade resource use against retained behavior.
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Model Compression. Reducing a model's storage or execution requirements. Compression methods trade resource use against retained behavior. For example: A mobile model combines pruning and lower-precision weights.
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This helps you balance prediction quality with memory, latency, and throughput.
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