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?

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  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Andrey Lukyanenko

Andrey Lukyanenko

Senior Data Scientist at Careem

He is Kaggle Notebooks(has been ranked 1st in the kernel ranking) and Discussions Grandmaster as well as Kaggle Competitions Master. You can follow him on Linkedin and Twitter.

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