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Library resources and ML procedure
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Library resources and ML procedure
#1
Hey everyone,

Getting into Tensorflow with my organization and I wanted to know if anyone has a good resource for an overview of all the methods in Tensorflow.

Also, because I'm new to machine learning, I wanted to ask that it seems like there is a pretty standard procedure for the ML process.

Steps:
1. Import data
2. Groom data
3. Create Model
4. Train Model
5. Validate Model
6. Save and continuously improve

Am I on the right track here? Are most leveraging Pandas to help import and groom data before creating their model?
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#2
Nevermind, found it. It was almost too easy.

For future reference if anyone searches...

https://www.tensorflow.org/api_docs/pyth..._members_2
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#3
Have you looked at PyPi? see: https://pypi.org/search/?q=tensorflow
In addition, there are many sites offering examples combined with tutorial one such (Haven't used it, so not vouching for it):
https://github.com/aymericdamien/TensorFlow-Examples
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#4
(Mar-03-2020, 05:19 PM)Larz60+ Wrote: Have you looked at PyPi? see: https://pypi.org/search/?q=tensorflow
In addition, there are many sites offering examples combined with tutorial one such (Haven't used it, so not vouching for it):
https://github.com/aymericdamien/TensorFlow-Examples

This will definitely help too. Thank you.
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