Monday, June 22, 2020

How to Monitor Machine Learning and Deep Learning Experiments

Training machine learning/deep learning models can take a really long time, and understanding what is happening as your model is training is absolutely crucial. Typically you can monitor: Metrics and losses Hardware resource consumption Errors, Warnings, and other logs kept (stderr and stdout) Depending on the library or framework, this can be easier or more […]

The post How to Monitor Machine Learning and Deep Learning Experiments appeared first on neptune.ai.



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TestDriven.io: Working with Static and Media Files in Django

This article looks at how to work with static and media files in a Django project, locally and in production. from Planet Python via read...