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A comment on TensorFlow: Good practices for files, folders and models architecture.
- I list all the different tasks one will have to do when doing ML
- I show a common folder structure that I believe handles all possible use cases nicely
- I show a basic Model class, easily extendable that structure a lot of possible kinds of models
- I describe how to build a good "shell API" for easy iterations.
Bonus: Some TF code linked to the subject.
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- I list all the different tasks one will have to do when doing ML
- I show a common folder structure that I believe handles all possible use cases nicely
- I show a basic Model class, easily extendable that structure a lot of possible kinds of models
- I describe how to build a good "shell API" for easy iterations.
Bonus: Some TF code linked to the subject.