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MLOps with TensorFlow: Building and Deploying Production ML Pipelines
Distributed Processing and Components (TensorFlow Extended)

Distributed Processing and Components (TensorFlow Extended)

MLOps with TensorFlow: Building and Deploying Production ML Pipelines

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
29 درس
11:05 MLOps and TFX with Beam and Dataflow
26:41 ML engineering for production ML deployments with TFX (TensorFlow Fall 2020 Updates)
05:46 What exactly is this TFX thing? (TensorFlow Extended)
05:00 How do TFX pipelines work? (TensorFlow Extended)
05:32 Why do I need metadata? (TensorFlow Extended)
11:48 Distributed Processing and Components (TensorFlow Extended)
08:53 Model Understanding and Business Reality (TensorFlow Extended)
06:34 Deploying production ML models with TensorFlow Serving overview
05:51 TensorFlow Serving client examples
07:15 How to customize TensorFlow Serving
08:49 TensorFlow Serving performance optimization
07:27 Advanced features on TensorFlow Serving
41:46 TFX: Production ML pipelines with TensorFlow (TF World '19)
29:35 Day 2 Keynote (TF World '19)
36:23 Machine Learning Fairness: Lessons Learned (Google I/O'19)
31:35 TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19)
15:07 TensorFlow Extended (TFX) Post-training Workflow (TF Dev Summit '19)
37:51 TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)
24:22 TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)
49:00 Taking Machine Learning from Research to Production • Robert Crowe • GOTO 2019
24:12 SysML 19: Martin Zinkevich, Data Validation for Machine Learning
40:45 Continuous retraining with TFX and Beam
33:16 ML Deployment [Google #ML Summit]
38:20 From Experimentation to Products: The Production Machine Learning Journey • Robert Crowe • GOTO 2021
09:56 Machine Learning Engineering for Production (MLOps)
41:15 Beam Summit 2021 - ML Inference at scale, easy as learning your 5 times table
13:56 Does your app use ML? Make it a product with TFX | Session
07:48 Manage MLOps and deploy Machine Learning to production with the new and improved TFX
30:36 Adapting to Change: How Machine Intelligences Adapt to a Changing World • Robert Crowe • GOTO 2022