Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial 2021

In this video I show you the freakishly difficult task of setting up and installing the latest tensorflow version with GPU support on Windows 10 :)

GO HERE FIRST:

1. Microsoft Visual Studio

2. the NVIDIA CUDA Toolkit

3. NVIDIA cuDNN

4. Python (check compatible version from first link)
conda create --name tf_2.4 python==3.8

5. Tensorflow (with GPU support)
pip install tensorflow

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[LOogt]

I love that you explained it in a way that allowed me use updated version. Specifically explaining how to select all the correct version numbers of tensorflow, python, cuDNN, and CUDA was the best.

[imitationmask]

This is awesome! This will definitely help a lot of people! I almost spent the entire Sunday last week installing my first tensorflow env with gpu support, and it was painful. At the edge of giving up and I realized that I used conda to get tensorflow gpu library and it turned out to be the cause. Always use pip install. I wish this video came early and it would save me hours of frustration.

[PerNystedt]

Thank you so much Aladdin! I'm just getting back to coding after 20 years of doing everything else. This tutorial was 100%!

[sumanta]

This is the best tutorial available on the web. After having more than 2 days of sleepless nights only for figuring out the problem in installation finally watched this video. It is superb .Thanks a lot man.

[mukulagarwal]

Thanks a lot, after spending hours installing the correct versions and getting a lot of errors, this 9 min video is such a gem. Kudos. Saved a lot of time since then.

[andresyesidmorenovilla]

thank you so much!!!! You can't imagine the shear sense of hopelessness that installing Tensorflow for GPU had brought me. I once tried for almost 2 days straight with no results. But you explained it perfectly: Structured, concise and easy-to -understand !!! You're a life saver, thank you so much.!!!

[siddharthkshirsagar]

From the bottom of my heart thanks for this amazing demonstration. I had so many bugs but after this tf gpu is running perfectly.

[jacklocasto]

Shout out you! I've been trying so many different ways of doing this and yours is the only one that worked!

[dotio]

Thank you so much for this tutorial! It was so easy and I was able to set this up. I just spent like 5 hours trying to get it to work, but I was able to do it in like 10 minutes with this video. Thanks!

[cairun]

Thank you so much for making this video. I've followed several other tutorials which all ended up not working. Your tutorial is the only one that worked.

[lzr]

Thank you so much dude! Your video really helped me figuring out which CUDA and cuDNN version that I needed, it is very appreciated :)

[souhardyasahadip]

A huge shout to you... Been struggling for days
Thank you for uploading this amazing tutorial..!

[WolfyMarcus]

Thank you so much!!! I had installed cuda 11.5 and cudnn 8.3 both of which were not supported by latest tensorflow, downgraded to cuda 11.2 and cudnn 8.1 and everything works

[Jota_VA]

Thanks, it worked. And I had been looking over a lot websites, but your explanation was the most detailed.

[DoFlamingo_P]

Thank you for this, tried other videos too, but hands down the joy after finally able to use my gpu for training

[harrivayrynen]

This video's instructions works right out of the box. All steps which are needed are in the video description. And as extra feature this video told also how I can use PyCharm with created environment. Respect! If you have also Windows10 and Nvidia card, this video is all you need to get Cuda working in 30 minutes.

[majstrstych]

Thanks man! Straight to the point and up-to-date! Love it :)

[amirhossini]

An excellent demo that can be generalized to newer versions and is handy for setting up Pycharm as well.

[indigofast]

Thank you!! Your tutorials are much appreciated <3

[kasiawiech]

thank you!!! i was struggling so much and this was so helpful. you are a great teacher/instruction and a genius!!!