Step 1: Download and install Anaconda on your PC For easy understanding, we will split the installation procedure into two categories: How to install TensorFlow for Windows OS and then for Linux/Mac/Ubuntu OS For Windows OS The installation process will be broken into 5 steps. With Anaconda, you can very quickly get TensorFlow up and running on your machine, enabling you to kickstart your machine learning and deep learning process. In this tutorial, we will be focusing on setting up TensorFlow using Anaconda Installation. Installing TensorFlow from sources: You could also install TensorFlow by building a pip which you can install using pip.Using Docker Installation: You can also run TensorFlow in a docker container, which will be separated from the other programs in your machine.This also does not affect existing Python programs in your PC Using Anaconda installation: If you have Anaconda installed on your PC, you can install TensorFlow in its environment.This way, the existing python program on your OC would not be affected. This involves installing TensorFlow in a new and dedicated directory. Using virtualenv installation: You can install TensorFlow by creating a virtual environment.This may mess up the python programs on your PC. Some of which, may not be compatible with your previously run programs. Using pip installation: Using pip to install TensorFlow is great but may most likely upgrade other python packages on your PC.TensorFlow can be installed using different methods. Let’s now how the different methods to install TensorFlow. But using these versions will require you to install from sources. Cuda Toolkit greater than version 7.0 and cuDNN greater than version 3 will also work. You could use lower versions of Cuda Toolkit and cuDNN as well. If you want to install the GPU version of TensorFlow, Cuda Toolkit 7.5 and cuDNN v5 have proven to work very well. Running Tensorflow on dedicated GPUs have proven to produce a faster result and is recommended for large projects especially projects with image datasets. Tensorflow can be run using your machine’s CPU or GPU. The TensorFlow flow library is supported in Python 2.7 and Python 3.3 and above. By the end of this tutorial, you will discover how to carry out these procedures on your PC irrespective of the operating system you are using or the Python version you have installed.īefore we go any further, let’s see the requirement for installing TensorFlow on your PC. It involves a careful step of knowing how to create a virtual environment, activating the virtual environment, and finally installing Tensorflow in the virtual environment. In this tutorial, you will see how to set up TensorFlow on your machine. Please give it a try, and let me know your feedback!Ĭonsider following me on GitHub, Medium, and Twitter to get more articles and tutorials on your feed if you like what I did.To get started with TensorFlow, you need to get it up and running on your machine. no error pop up - Yeah!Īnd…Ta-da! It’s done! You can follow this article to test your newly installed packages :) no error pop up - Yeah! You can also try with Spyder. If the installation was unsuccessful, you will get an error. If everything is okay, the command will return nothing. This may take several minutes.Ĭheck your installation by importing the packages. The pop-up window will appear, go ahead and apply. In your new ‘tensorflow_env’ environment, select ‘Not installed’, and type in ‘tensorflow’. Make sure to select Python 3.6 here! Then ‘Create’, this may take few minutes. Input a new environment name - I put ‘tensorflow_env’. Go to the Environments tab and click ‘Create’.Ģ. I assume you have downloaded and installed Anaconda Navigator already. This article will walk you through the process how to install TensorFlow and Keras by using the GUI version of Anaconda. When TensorFlow is installed using conda, conda installs all the necessary and compatible dependencies for the packages as well. “ One key benefit of installing TensorFlow using conda rather than pip is a result of the conda package management system. why is tensorflow so hard to install - 600k+ results unable to install tensorflow on windows site: - 26k+ results Just before I gave up, I found this… I played around with pip install with multiple configurations for several hours, trying to figure how to properly set my python environment for TensorFlow and Keras. Photo by Krzysztof Kowalik / Unsplash Why am I writing this? Say no to pip install in the command line! Here's an alternative way to install TensorFlow on your local machine in 3 steps.
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