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jeffheaton / t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
https://sites.wustl.edu/jeffheaton/t81-558/
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Merge from master #48

Closed sum-coderepo closed 4 years ago

jeffheaton commented 4 years ago

Thanks for these I will have a look soon.

sum-coderepo commented 4 years ago

Hi Jeff,

Sorry the pull request was raised by mistake. I am greatly helped by your code and regularly updated my forked.

I have a query:-

Do you advice to use inbuilt method from sklearn or tensorflow in production or go with TDD development and create custom functions in python?

Thanks and regards

On Tue, 28 Jan, 2020, 08:39 Jeff Heaton, notifications@github.com wrote:

Thanks for these I will have a look soon.

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jeffheaton commented 4 years ago

Okay, thanks, no problem. For sklearn in production, I usually build it into a Python function that I can deploy as an AWS Lambda. That is actually how the autochecker that I use in my class works. As to TDD I try to automate as much of the AWS Lambda deploy as I can and have the usual sorts of unit tests built in before the function is deployed to AWS.

jeffheaton commented 4 years ago

No problem on the pull, I just closed it.