Get Real-Time Insights into ML Model Training with Amazon SageMaker Debugger

Published: 16 August 2023
on channel: Toronto Machine Learning Series (TMLS)

Speaker:
Nathalie Rauschmayr - Machine Learning Scientist, AWS
Lu Huang - Senior Product Manager on the AWS Deep Engine team, managing SageMaker Debugger, AWS
Satadal Bhattacharjee - Principal Product Manager, AWS

Abstract:
Debugging is an important aspect of the ML lifecycle that can help users save time and cost by finding issues early in the prototyping phase. This workshop will discuss the most common issues in training machine learning models, why debugging is important and then demonstrate how Amazon SageMaker Debugger can help to automatically identify issues and to get deep insights into models.

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