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Library resources and ML procedure - nsadams87xx - Mar-03-2020
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?
RE: Library resources and ML procedure - nsadams87xx - Mar-03-2020
Nevermind, found it. It was almost too easy.
For future reference if anyone searches...
https://www.tensorflow.org/api_docs/python/tf#other_members_2
RE: Library resources and ML procedure - Larz60+ - Mar-03-2020
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
RE: Library resources and ML procedure - nsadams87xx - Mar-03-2020
(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.