Python Forum

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?

Nevermind, found it. It was almost too easy.

For future reference if anyone searches...

https://www.tensorflow.org/api_docs/pyth..._members_2

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

(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.