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Performance profiling in TF 2 (TF Dev Summit '20)
Fairness Indicators for TensorFlow (TF Dev Summit '20)
Research with TensorFlow (TF Dev Summit '20)
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
Optimize your TensorFlow Lite models | Session
Model Optimization 101
Understanding TensorFlow Model Optimization
Quantizing Neural Networks Using TensorFlow's Model Optimization Toolkit
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Last Updated: September 30, 2026
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Summary
TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ... This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ... TensorFlow Lite provides tools to apply ML on mobile and edge, and do it in scale. We'll talk about TensorFlow Lite's end to end ... This talk presents a profiler that Google internally uses to investigate In this talk we'll go over some interesting features of Mobile and embedded devices have limited computational resources, so it's important to keep Topic: Quantizing Neural Networks Using TensorFlow's
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