the only tutorial which will really work in this year, thank you

Thanks for the video. This is the error I got (pins seem to be involved in the conflict. Currently pinned specs: -python 3.11.* ( labeled as pin-1))

@Morteza_Sc

15 күн бұрын

@@goldgoddy1167 please delete and reinstall the python. And make sure you follow every steps the way I show in the video. You should not face any error. If you did, it means, somewhere you have done something wrong.

Thank you sir it helped alot :)

Thank you.

it looks like keras is now incorporated in the tensorflow package so you only need tensorflow

I have only 3 options in not installed

after creating a new environment, I can't see Keras and tenserflow. it says "0 packages available matching error".

@Morteza_Sc

5 ай бұрын

It shouldn’t say that! Please make sure you follow all the steps as explained in the video!

hi i had a doubt , all the tutorials ive seen has steps like , 1.Install Visual Studio Installer for MS Visual Redistributable 2. download latetest nvidia drivers according to our available graphics card 3. then install cuda toolkit and cudnn are all these steps necessary and why have you not followed them ?? please explain

@Morteza_Sc

9 ай бұрын

So if you want to use your gpu, you have to follow them, but if you are fine using your CPU when installing TF, you don’t need to do all those things, and the tutorial here suffices.

Could you make a tutorial being able to use your gpu?

@Morteza_Sc

9 ай бұрын

I plan to do that!!

I am only getting the python version 3.9.13 while selecting from the drop down???

@Morteza_Sc

3 ай бұрын

It’s okay, go on with that!!

After I got to making the TF environment no Tensorflow or Keras showed up anywhere.

@Morteza_Sc

4 ай бұрын

I’m sorry for your problem!! Please make sure you follow everything I have laid out in the video. Did you test the installation in spyder? Did you use import tensorflow? Did you install the version of python I told you? You have to follow the steps I showed you in the video and you’ll be fine!

thanks

@bisyrim1030

5 ай бұрын

it's works on Jupyter notebook as well

is this stil the latest version of python you can use in this install method?

@Morteza_Sc

2 ай бұрын

Go with the latest that the Python is suggesting itself. Once you want to make a new environment, see what is the latest version Python is suggesting you, and just go with it and follow the same steps as here.

I am unable to create environment showing some error

@Morteza_Sc

8 ай бұрын

Please make sure to use the same python version that I’m using in the new environment.

How could I know the suitable version of environment??

@Morteza_Sc

3 ай бұрын

Just go with the latest that anaconda is suggesting you.

It should be named "install tensorflow CPU". There's no problems to install CPU tensorflow on any machine. The problem to install with GPU supports

@Morteza_Sc

7 ай бұрын

Yes, but this is the easiest way to install the tensorflow on CPU. You don’t need to do any coding!!

@bisyrim1030

5 ай бұрын

​@@Morteza_Schow about CUDA privilage? I can't use tensorflow on jupyter notebook, it's require Nvidia GPU

@Morteza_Sc

5 ай бұрын

@@bisyrim1030 so using this method, you will be installing TensorFlow on CPU, for GPU you have to do a more time-consuming method. My first video is an example of that. But the first video is for when you want to use spyder.

Thanks a lot. Your video is very helpful. However, it did not solve the problem and I don't know how to check the logs in Anaconda Navigator. So, I switched to the Anaconda prompt and tried "conda install tensorflow", but still got the following error "InvalidArchiveError("Error with archive [directory nma]"). I think the problem is that python 3.9.18 is incompatible with tensorflow 2.10.0. On the Anaconda prompt, I then tried the following 2 and it worked: conda clean -a pip install tensorflow It downloaded the correct libraries and I see that it successfully installed tensorflow 2.16.1 Thanks again.

@Morteza_Sc

4 ай бұрын

I’m glad you solved your problem. If you follow everything I laid out in the video, you’ll be fine!

you beautiful beautiful man