How to Install TensorFlow 2 Using Conda

1. Install TensorFlow 2 Using Conda
2. Install TensorFlow 2 by Making an Environment Variable

TensorFlow is a library for building and deploying machine learning and deep learning models. TensorFlow 2 is an updated version of TensorFlow.

Conda is the package manager, which helps in getting and updating new packages. To use conda, you must install the Anaconda and assign its path in the environment variable to use in the Windows command prompt.

If you want to install any library, you can use either the conda or pip package manager.

This article will use conda to install TensorFlow 2.

Install TensorFlow 2 Using Conda

You can use the following syntax to install TensorFlow:

conda install tensorflow

You can use this code in the Windows or Anaconda terminal. It will install the TensorFlow library like this:

It will automatically install the updated version of TensorFlow. It will ask to install some of the packages or libraries related to TensorFlow, and then it is completely installed.

You can check the installed version of TensorFlow by using the following command.

conda list tensorflow

Output:

Install TensorFlow 2 by Making an Environment Variable

In this section, we will look into installing TensorFlow by making a variable of the environment.

First, let’s create an environment using the following command:

conda create -n env_name

Here you can name your environment in place of env_name.

Output:

Here, we have created an environment named upwork.

Let’s activate this environment. To start, you can use the following command:

conda activate env_name

Here my environment env_name is upwork.

Output:

Now, let’s install TensorFlow in this environment:

conda install tensorflow

Output:

To confirm whether TensorFlow is installed or not, we can check it using the following command:

conda list tensorflow

Output: