Nathalie Rauschmayr
where else to find them
linkedin:rauschmayr
what they talk about
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Chaim Randonce
- Soumen Chatterjeeonce
who talks about the same things
- Soumen Chatterjee3 talks
- Joshua Arvin Lat20 talks
- Abraham Kang5 talks
- Irina Vidal Migallón7 talks
- Rishabh Misra5 talks
- Antje Barth9 talks
| title | conference | date |
|---|---|---|
| At the age of AI and ML | Conf42 Chaos Engineering 2022 | 2022-03-10 |
Shows a concrete pipeline that detects adversarial inputs by capturing layer activations with SageMaker Debugger, comparing training vs inference… | ||
| Gain better insights while training ML models with SageMaker Debugger | AWS Machine Learning Summit 2021 | 2021-06-02 |
SageMaker Debugger captures weights, gradients and activations with zero-code change and uploads snapshots (default every 500 steps) to S3 while a separate… | ||
| Train ML models faster with better insights using Amazon SageMaker Debugger | AWS re:Invent 2020 | 2020-11-30 |
Amazon SageMaker Debugger captures full tensors and system metrics during training, runs built‑in rules to flag overfitting, vanishing gradients, CPU/IO… | ||
| nothing matches | ||