I am studying through a book called 'Deep Learning that I know and weave with Python blade coding'.
What I want to ask is how to transfer the code written on the jupyter notebook to the py code.
In this book, we use %run.../~~~~~
to run the ipynb file first and add code below it.
I wanted to fill it out in a py file, so I simply used import, but it didn't work.
The method adopted in the book above is
File name: /codes/chap05/mlp_model_test.ipynb
%run ../chap05/mlp_model.ipynb
%run ../chap05/dataset_chap123.ipynb
%run ../chap05/dataset_flower.ipynb
This is how you use run to run 3 files and write code below.
What I thought was,
File name: /codes/chap05/mlp_model_test.py
import mlp_model
import dataset_chap123
import dataset_flower
I thought it would work if I did this, but it didn't work. (All the imported files are py files.))
I'd appreciate it if you could tell me how to solve it.
If I may ask you an additional question, I used the method of registering class methods by declaring them externally in the ipynb file. Is it okay to do the same in the py file?
python jupyter-notebook vscode deep-learning
I was also curious, so I searched for a well-organized document like below.
https://blueriver97.tistory.com/45
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