Robert Crowe
where else to find them
what they talk about
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where they keep going back
- Google I/O2 editions2021–2022
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who talks about the same things
- Martin Gorner14 talks
- Alejandro Saucedo33 talks
- Vladimir Osin4 talks
- Jeremy Lewi7 talks
- Ed Shee5 talks
- Andrey Velichkevich12 talks
| title | conference | date |
|---|---|---|
| The Importance of Forgetting for Both Humans & Machines | GOTO Copenhagen 2022 | 2022-10-03 |
Forgetting is framed as an adaptive mechanism supported by experiments: rats in a water maze or smell‑tray tasks that run on wheels to boost neurogenesis… | ||
| Adapting to Change: How Machine Intelligences Adapt to a Changing World | GOTO Amsterdam 2022 | 2022-06-12 |
Argues that neural adaptation centers on changing cortical reference frames (about 150,000 cortical columns) and that machine models freeze their world view… | ||
| An introduction to MLOps with TensorFlow Extended (TFX) | Google I/O 2022 | 2022-05-11 |
An introduction of TensorFlow Extended shows how TFX pipelines automate repeatable training and deployment, with ML Metadata recording every artifact so teams… | ||
| Manage MLOps and deploy Machine Learning to production with the new and improved TFX | Google's Machine Learning Virtual Community Day 2021 | 2021-11-09 |
TFX is a production MLOps stack that claims model code is only 5% of total code and focuses on pipelines, portability (Colab, notebook, Kubernetes, Vertex)… | ||
| ML Inference at scale, with Apache Beam and the Flink runner: Easy as learning your 5 times tables. | Flink Forward Global 2021 | 2021-10-18 |
Builds beam pipelines that run TensorFlow models with the Flink runner using the RunInference transform from tfx bsl, loading SavedModel from GCS in local mode… | ||
| Does your app use ML? Make it a product with TFX | Google I/O 2021 | 2021-05-18 |
Announces TFX 1.0 release as an open source, enterprise-ready ML pipeline that runs on Colab, laptops, GKE, Kubeflow and in Vertex pipelines with IAM and… | ||
| Make your app a product with the TFX team | Google I/O 2021 | 2021-05-18 |
Announces TFX 1.0 with a stable public API and three years of critical fixes, demonstrates pipelines running on Kubernetes via Kubeflow Pipelines, on Airflow… | ||
| From Experimentation to Products: The Production Machine Learning Journey | GOTOpia February 2021 | 2021-02-09 |
Describes how Google moves experiments to production using TFX + Kubeflow pipelines and Apache Beam for distributed processing, with concrete components… | ||
| Distributed Processing for Machine Learning Production Pipelines | Flink Forward Virtual 2020 | 2020-04-22 |
Claims that a production ML pipeline is practical end-to-end: they implement TFX components (ExampleGen→StatisticsGen→Transform→Trainer→Evaluator→Pusher) on… | ||
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