Recently I've been trying to set up an environment in order to use GPU for Jupyter Notebook, and wrote a couple codes as following:
''' pip install tensorflow-gpu '''
''' conda update -n base conda '''
After all, I didn't get what I wanted, but instead it ruined my existing Jupyter notebook performance. It gave me a few messages regarding downloading and removing some of the packages that I don't know so well.
Now when I'm running kernel, it is relatively slow. It is somewhat bearable when I'm running simple codes on pandas or numpy, but I can definitely tell it has been slowed down when I'm running some libraries with sophisticated calculations, like sklearn. It took me about 3 to 5 mins for some of the codes before I did what I did, but it's now taking me around 30 mins to do the same process.
I've tried to reinstall Anaconda3 multiple times, but it's not taking me back to the default settings. Can someone help how to fix this, or may be just change my Jupyter Notebook settings(including packages) to when I first downloaded Anaconda3?.
I'm quite new to softwares so I'm not very familiar with certain terms and concepts. If someone can explain me the solution by process, my appreciation is yours.
Thank you