Setting up Tensorflow-GPU with Cuda and Anaconda onWindows

Writing this article to help out those who have trouble in setting up Cuda enabled TensorFlow deep learning environment. If you don’t have Nvidia GPU configured in your system then this article is not for you. And you need the below items in order to configure this environment. Don’t worry I will guide you throughout the processes to install all of them.

  1. Microsoft Visual Studio
  2. Anaconda
  3. Python (Preferably with conda package manager)
  4. Tensorflow

#tensorflow #cuda #anaconda #nvidia #deep-learning

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Setting up Tensorflow-GPU with Cuda and Anaconda onWindows

Setting up Tensorflow-GPU with Cuda and Anaconda onWindows

Writing this article to help out those who have trouble in setting up Cuda enabled TensorFlow deep learning environment. If you don’t have Nvidia GPU configured in your system then this article is not for you. And you need the below items in order to configure this environment. Don’t worry I will guide you throughout the processes to install all of them.

  1. Microsoft Visual Studio
  2. Anaconda
  3. Python (Preferably with conda package manager)
  4. Tensorflow

#tensorflow #cuda #anaconda #nvidia #deep-learning

Uriah  Dietrich

Uriah Dietrich

1616049540

Spare your headache — setting up tensorflow with CUDA on Windows 10 

On November 9, 2015, Google open sourced a software library called TensorFlow. TensorFlow is a software library used for Machine learning and Deep learning for numerical computation using data flow graphs. It can run on multiple CPUs and GPUs
Since machine algorithms run on huge data sets, it is extremely beneficial to run these algorithms on CUDA enabled Nvidia GPUs to achieve faster execution, due to thousands of compute cores.
Its always a bit annoying and time consuming process to get a fast and constistent data science environment running. This is a step by step guide, helping you to install a Anaconda Environment with a runable GPU Kernel in a jupyter Notebook. There are other ways of making your GPU usable for Data Science, but this a very good option for beginners and Windows-User.
Why should I use my GPU to compute in data science? Read this article if you dont know yet.

#gpu #tensorflow #windows #anaconda #cuda

Installing TensorFlow GPU (Updated)

Good News!!..…TensorFlow providing in-built GPU.

Great, but how to install it ?? Don’t worry we will crack this in 2 Steps.

Note: This could be done only if the system has Nvidia Graphics Card (Must and should)

Come on let’s jump into it.

Why GPU’s ?

Using GPU’s we could run our neural network problems so comfortably not wasting time on unusual things (I mean sitting all the day to train them by watching epoch by epoch).

So, in this blog we would like to know the installation process very easily (Trust me) in 2 steps.

Steps :

  1. CUDA installation
  2. TensorFlow installation

#data-science #tensorflow #gpu-computing #ai #tensorflow-gpu #cuda

Installing Tensorflow GPU on Anaconda

So, I was trying to use my GPU for the running a tensorflow code, but everytime it would run on CPU. I updated my Nvidia drivers, CUDA Toolkit and my tensorflow without any luck.

After a lot web search and trials i was finally able to get codes to run on GPU instead of CPU. I had to try many different codes and tricks from various sources. It took me more than a month to get the right codes and process. So i thought of putting it all in a single page so that someone new doesn’t has to struggle.

I have a Nvidia GeForce 940M graphics card, and I have Python 3.7 version and Anaconda 4.8.3. Assuming that you already have or know how to install Anaconda and Python, lets get started with installing Tensorflow-GPU. First you need to check if your graphics card supports CUDA. This can be checked on the Nvidia website link: https://developer.nvidia.com/cuda-gpus

#tensorflow #installation #cudnn #gpu #cuda

Uriah  Dietrich

Uriah Dietrich

1617360660

Install Tensorflow-gpu 2.4.0 with Cuda 11.0 and CuDnn 8 Using Anaconda

Have you been frustrated, installing Tensorflow Gpu with Cuda and all stuff; If yes, This Blog is for you, here you’ll get an easy way to install Tensorflow GPU with the latest versions.CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs.

#cuda #ai #tensorflow-gpu