DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
25 Jun 202208:06am - 25 Jun 202209:06am
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
About the Event
Reproducibility is an important topic in data science. It is crucial to have a reliable code if we want to ensure that our experiments aren't influenced by randomness too much. At the same time, it should be possible to change the code easily as we iterate over ideas.
In this DataHour, Andrey will show an example of a working training pipeline for deep learning based on PyTorch-lightning as a wrapper over PyTorch code and Hydra for managing configuration files.
Prerequisites: Enthusiasm for learning Data Science and basic knowledge of python and machine learning.
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Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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