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Simone Scardapane
@s_scardapane 5 years, 5 months ago 1183 views

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Reproducible Deep Learning

The first two exercises are out!

We start quick and easily, with some simple manipulation on Git branches, scripting, audio classification, and configuration with @Hydra_Framework.

Small thread with all information 🙃 /n

Reproducibility is associated to production environments and MLOps, but it is a major concern today also in the research community.

My biased introduction to the issue is here: https://t.co/PqWH6uL5eT

The local setup is on the repository: https://t.co/9mhtZoJhE9

The use case for the course is a small audio classification model trained on event detection with the awesome @PyTorchLightnin library.

Feel free to check the notebook if you are unfamiliar with the task. /n

I spent some time understanding how to make the course as modular and "reproducible" as possible.

My solution is to split each exercise into a separate Git branch containing all the instructions, and a separate branch with the solution.

Two branches for now (Git and Hydra). /n

How well do you *really* know Git? The more I learn, the more I find it incredible.

I summarized most of the information on a separate set of slides: https://t.co/6dSmK3IfWB

Be sure to check them out before continuing! /n

Exercise 1 is a simple example of turning a notebook into a working script.

To make things more interesting, you have to complete the exercise while working on a separate Git branch!

https://t.co/35y9NQaVtz

Nothing incredible, but it is always good to start small /n

Once you have a working training script, it is time to add some "bell and whistles"!

My must-have is some external configuration w/ @Hydra_Framework. Exercise 2 guides you in all the required steps.

Plus side: colored logging!

https://t.co/WyAIMXASRl

That is all for the moment. The next exercises will explore having external data versioning with @DVCorg and complete isolation with @Docker.

You can follow by starring the official repository, or here on Twitter. 👀

https://t.co/9mhtZoJhE9

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This is a beautiful story of Guruvayurappan. Once there lived in Guruvayur a poor family. Kitta, his wife & kids were struggling for their daily needs. With only a coconut tree in house, he earned a living by selling coconuts.

Kitta was from a low caste family. He was a great devotee of Guruvayurappan. Everyday before going to work he always prayed infront of a picture of Guruvayurappan in his house. His only wish was to worship at Guruvayur & have annadanam in temple. But he was not allowed there

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Shri Krishna, dressed himself as a Brahmin went to temple Kitchen. He packed food and went directly to kitta's house. Reaching Kitta's house, Shri Krishna told he was sent by a cook of Guruvayur temple and gave them the food he packed. Kitta and family was very happy seeing food.

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The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.

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HELLO: If you pee and every time you finish, your urine looks like this picture, you may have a serious medical illness.

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RT for others.

What are the features of a normal urine?

A normal urine should have a light yellow colour, painless, odourless (or faint smell), steady stream and should ideally not foam when you pee.

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For instance if urine becomes very deep yellow, it may mean you are dehydrated;

If urine becomes painful or smells really really bad, it may mean you have an infection;

If urine has a poor stream, especially in a man, it may mean a prostate problem like cancer.

Do you get me?

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