Install Tensorflow and Keras in Jupyter Notebook using Anaconda will allow you to use these Python modules error free in their own environment. This method is efficient and should only take a few minutes to get up and running.
Пікірлер: 58
@ichagala4974 Жыл бұрын
The only method that worked for me and i spent 5 hours looking up tutorials. Thank you so much!
@iremustek778 Жыл бұрын
I tried every other method, but only this one worked for me! Thanks
@codeseb Жыл бұрын
Glad it worked for you Irem!
@miralkatpara8155 ай бұрын
4 hours later, did everything twice, finally this way it worked, thanks a lot
@Wissro11 ай бұрын
Straight to the point and works like a charm, thanks for the tutorial!
@RelAxGamingKing772 ай бұрын
Thanks a lot!!! This is the only solution that actually worked.
@maggietang1369 Жыл бұрын
When change kernel to the new one, not able to connect, returned 'kernel appears to die' every time, on a Mac
@marcusch4884 Жыл бұрын
Wow if that's the right way I can't imagine what the wrong way looks like.. error after error. Thanks for the effort but in the future maybe explain what these steps do a little more.
@DianaCruz-bz3hf Жыл бұрын
The only missing bit in your video is clarifying you need to be aware of whether the version of Python matches the Anaconda environment, great video tho
@alexwhite4995 Жыл бұрын
This video helps a lot, thanks for sharing your knowledge! :)
@jadhavashatai8845 Жыл бұрын
This works for tensorflow but there is no other libraries like pandas, numpy
@Ess_collection5 ай бұрын
When you open anaconda open as administrator and go to environments choose your environment from package tab choose all and in search choose any library you need to install
@akai930411 ай бұрын
it finally works! Your are the best! thank you so much!!!!!!!!!
@SimonaSandhu-pw1uuАй бұрын
It didn't work for two turns but successfully done in the thrice one.thanku sir
@joelkamau51725 ай бұрын
This worked for me ...kudos
@ni_nou-u5r Жыл бұрын
Thank you for simplifying the process 🤗
@ParulSingh-dk5qf4 ай бұрын
this didn't help me a bit
@globalSentry7 ай бұрын
It worked. but at the end i had to install with !pip e.g . !pip install tensorflow. Thanks for the vid.
@maryamarshad871Ай бұрын
I have already install pytorch so when I write to install tensor flow ,then error will occur
@user-ds7ee6hr4k Жыл бұрын
HI I got this error when I try to follow the steps (-c conda-forge tensorflow) Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. I have a Mac Please help!!!
@virupakshavegi440510 ай бұрын
Hi I am facing the same issue how did you solve it? can you please help me
@adityagiri039 ай бұрын
@@virupakshavegi4405 could you solve it? facing same issue
@Sameer-tt3bx Жыл бұрын
what if i already installed tensorflow do i need to do the installation again
@biorad23 ай бұрын
once (mini)conda is installed, do conda create -n jupy_tf -c conda-forge tensorflow jupyter conda activate jupy_tf jupyter notebook
@lucassamuel2255 ай бұрын
thanks man, you helped a lot with this video
@ImmortalLegendTV6 ай бұрын
Bro! I cant get tensorflow to read my GPU in Anaconda Prompt is it possible for you to look into my environment/path situation?
@user-xy2sw2sk6o3 ай бұрын
So much thanks! It helped a lot.
@pythonfoundations Жыл бұрын
Thanks for teaching THE RIGHT WAY
@codeseb Жыл бұрын
Thanks for watching - Other methods may lead to errors !
@Viewpoint3145 ай бұрын
I deleted everything and reinstalled everything two times. Then when I launched Jupyter and clicked on new, no Pythoin showed up and also my environment didn't show up like before.
@shubhambawane42274 ай бұрын
getting an error while creating new notebook in testenv what should I do?
@Viewpoint3145 ай бұрын
I followed all the instructions. Then at the end, you said to get into Jupyter and click on New - testenv which I did. Then at the top of the screen, it said "kernel starting..." and it stays there forever and eventually says that it cannot connect to the kernel. So no programs can be run? I tried various videos on how to install everything and yours was the only one that seemed to work until the last step when nothing could be run.
@viveknaithani3 ай бұрын
yes, I am facing the same problem
@viveknaithani3 ай бұрын
Did you get any solution?
@Dr.DeepikaMP11 ай бұрын
Thank you. worked for me.
@maitiaru Жыл бұрын
thanks! it worked for me.
@sushreesatapathy61736 ай бұрын
Will this installation of tensorflow work for spyder
@amartyajena91755 ай бұрын
thanks only last step was missed in the course
@fernandoruizruiz24724 ай бұрын
Thank you so much!
@ahmedhacen34493 ай бұрын
was very helpfull than kyou sir
@nicholasjones89799 ай бұрын
Thanks for this.
@tuhinhazra1945 Жыл бұрын
Can't connecting to kernel in jupyter notebook .
@snyogeshappa21766 ай бұрын
same here how did u solve this
@mahmoudadelelkholy3130 Жыл бұрын
i tried but still have errors plz help me
@codeseb Жыл бұрын
Are you on Mac or PC
@mahmoudadelelkholy3130 Жыл бұрын
@@codeseb pc windows 10
@animetalks21294 ай бұрын
thx a lot , do you also teach ML and AI
@user-yw4yw8xf6n9 ай бұрын
Tried many times and got error until this video popped up
@vikasv836011 ай бұрын
But still getting error
@moheeuddeenansari96404 ай бұрын
it shows no module name ipykernel help!!!!
@alirizvi8366Ай бұрын
pip install ipykernel
@arshmeharkaur54 ай бұрын
bless you
@lysaait1711 Жыл бұрын
Thank youuuuuu
@bahriala Жыл бұрын
when i try the last operation " python -m ipykernel install --user --name=...." i have : [WinError 5] Accès refusé: 'C:\\Users\\DELL\\AppData\\Local\\Temp\\tmpks3hohri_kernels\\python3\\logo-32x32.png' Perhaps you want `sudo` or `--user`?
@ni_nou-u5r Жыл бұрын
hi these instructions are correct! try to create a new environement with no dependencies (--no-default-packages) and install few primary libraries then --add conda-forge channel before finally trying to install tensorflow and ipykernel. another advice would be to configure your bashrc to a diffrent location than default. good luck