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TensorFlow Model Optimization Toolkit

A toolkit to optimize ML models for deployment for Keras & TensorFlow

The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. ...

Downloads: 0 This Week

Last Update: 2026-05-12
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