#Anaconda 3 how to#
#Anaconda 3 .exe#
#Anaconda 3 install#
#Anaconda 3 upgrade#
#Anaconda 3 code#

#Anaconda 3 install#

Step 5: Install TensorFlow in the activated TensorFlow environment

#Anaconda 3 code#

To activate your newly created TensorFlow environment, type the line of code below. Step 4: Active your TensorFlow environment. Once the download is complete, it means you have successfully created your TensorFlow environment. Type ‘y’ to begin the download of TensorFlow and the necessary dependencies. Here, I have a Python 3.7 installed on my machine. The python version to use is the python version on your machine. Let’s say you wish to name your environment, ‘tensorflow’, go ahead and type this code on your Anaconda PowerShell Prompt to create the environment. Some others use ‘tf’ Note that you are at liberty to use any name you desire. The Tensorflow environment is the Python environment where the Python script, TensorFlow library, and its dependencies will be installed You can name it ‘tensorflow’. Step 3: The next thing you need to do is to create a TensorFlow environment. Step 2: Open the Anaconda PowerShell Prompt from the Windows Start menu.

#Anaconda 3 .exe#

exe file, and click on the Next button until the installation process is complete. You can visit their website and click on the download menu to download the setup file.Īfter you have successfully downloaded the file, open the. Since we are using Anaconda to install TensorFlow, you must have Anaconda installed on your PC. Step 1: Download and install Anaconda on your PC

#Anaconda 3 how to#

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.

#Anaconda 3 upgrade#

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. To get started with TensorFlow, you need to get it up and running on your machine.