How to Install TensorFlow GPU on Windows

Install Tensorflow GPU on Windows

I show all of the steps needed to install TensorFlow GPU on Windows. I setup an entire Machine Learning development environment as well by showing how to setup CUDA, cuDNN, Visual Studio Code, Jupyter and more.

LINKS MENTIONED
python.org/downloads/
quasar.ugent.be/files/doc/cuda-msvc-compatibility.html
tensorflow.org/install/source#gpu
developer.nvidia.com/cuda-toolkit-archive
developer.nvidia.com/cudnn
code.visualstudio.com/

#tensorflow #machinelearning

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How to Install Laravel 8 on Windows 10 Xampp

How to install laravel 8 on windows 10. In this tutorial, i would love to share with you how to install laravel 8 on windows 10.

How to Install Laravel 8 on Windows 10 Xampp

Installing laravel 8 on windows 10 xampp server step by step:

1. Step 1 – Prerequisiteto Install Composer On Windows
2. Step 2 – Server Requirements For Laravel 8
3. Step 3 – Installing Laravel On Windows 10 Xampp
4. Step 4 – Start Development Server For Laravel 8

https://laratutorials.com/installing-laravel-8-on-windows-10-xampp/

#install laravel on windows xampp #how to install laravel in windows 10 xampp #install xampp on windows 10 laravel installation steps #laravel installation steps #how to run laravel project on localhost xampp

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

The Easy-Peasy Tensorflow-GPU Installation(Tensorflow 2.1) on Windows 10

Installing Tensorflow for GPU is an immensely complicated task that will drive you crazy. There are n-number of tutorials online that claims their way of doing things is the most efficient one. Despite their presence, I had a hard time getting stuff done as installing Tensorflow 2.1.0 is a bit different than its predecessor(Tensorflow 1). A minor difference in code will trigger AttributeError. So once I have succeeded, the very thought was to share my experience as a blog elaborating on the process.

The Easy Ways of Installation

The below-mentioned steps will definitely make your life easy:

• To start with, it is advisable to verify your GPU as a CUDA compatible one. You can verify it here.
• If Python is not yet installed, you may download it here.
• Once GPU is found to be compatible, you are required to download the CUDA toolkit from the NVIDIA website. It’s mandatory to restart the OS(Windows 10) after installing the toolkit.
• Open the Environment Variables by typing the term ‘environment variables’ in Windows 10 search bar in the taskbar, and select ‘Edit the system environment variables’. After installing the CUDA toolkit, I have to manually enter the CUDA_HOME variable. The other two variables-CUDA_PATH and CUDA_PATH_V11_0 were already present in the System variables list. Note that the three variables viz. CUDA_HOME, CUDA_PATH, and CUDA_PATH_V11_0 have the same variable value(C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0). If properly installed the System variables will have the three variables(paths) as highlighted by the red stroke as shown below

#gpu #python3 #tensorflow #cudnn #cuda #python

How to Install TensorFlow 2 GPU on Windows 10 (Step by Step)

In this tutorial, we'll share 8 Steps to  Install TensorFlow 2 GPU on Windows 10 (Step by Step):

Step 1: Find out the TF version and its drivers.

Step 2: Install Microsoft Visual Studio

Step 3: Install the NVIDIA CUDA toolkit

Step 4: Install cuDNN

Step 5: Extract the ZIP folder and copy core directories

Step 6: Add CUDA toolkit to PATH

Step 7: Install TensorFlow inside a virtual environment with Jupyter Lab

#windows #tensorflow #python