Background to Optimize Your Models With Tf Model Optimization Toolkit Tf Dev Summit 20
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Performance profiling in TF 2 (TF Dev Summit '20)
TensorFlow Extended (TF Dev Summit '20)
TFRT: A new TensorFlow runtime (TF Dev Summit '20)
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)
TensorFlow Enterprise (TF Dev Summit '20)
Differentiable convex optimization layers (TF Dev Summit '20)
TensorFlow Profiler demo (TF Dev Summit '20)
Easy on-device ML from prototype to production (TF Dev Summit '20)
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Last Updated: October 1, 2026
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Summary
Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief ... This talk showcases multiple performance improvements in TensorFlow 2.2 to accelerate and scale users' ML training workload to ... This talk presents a profiler that Google internally uses to investigate TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This videos shows how you can ... TFRT is a new runtime for TensorFlow. Leveraging MLIR, it aims to provide a unified, extensible infrastructure layer with ... For more information about Stanford's graduate programs, visit: online.stanford.edu/graduate-education October 31, 2025 ... Mobile and embedded devices have limited computational resources, so it's important to keep Learn about how to deploy ML to mobile phones and embedded devices. Now deployed on billions of devices in production - it's ... TensorFlow Enterprise delivers enterprise-grade support, performance, and managed services for Learn about TensorFlow Profiler: TensorFlow's performance profiler which provides a wide range of tools across GPU/TPU/CPU ... 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 ...
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