conda jupyter tensorflow
found on #stackoverflow
https://stackoverflow.com/a/43259471/1650038
Create a virtual environment - conda create -n tensorflowx
conda activate tensorflowx
So then the next thing, when you launch it:
- If you are not inside the virtual environment type -
Source Activate Tensorflow
- Then inside this again install your Jupiter notebook and Pandas libraries, because there can be some missing in this virtual environment
Inside the virtual environment just type:
pip install jupyter notebook
pip install pandas
Then you can launch jupyter notebook saying:
jupyter notebook
- Select the correct terminal python 3 or 2
- Then import those modules
! start jupy from project folder in Documents
.py files
git init
add commit
git remote add origin <REMOTE_URL>
git push remot origin
conda jupyter tensorflow: github condjup is local xfold repo
vs code debug tensorflo: repo deepflo
docker tensorflow image: once again:
docker run -it --rm -v $(realpath ~/notebooks):/tf/notebooks -p 8888:8888 tensorflow/tensorflow:latest-jupyter
https://codeflysurf.com/2021/11/22/running-tensorflow-in-jupyter-notebook-docker/
Recent Comments