Monday, July 22, 2024
Home CryptocurrencyBlockchain TensorFlow Keras installation instructions

TensorFlow Keras installation instructions

by xyonent
0 comment
How To Install Tensorflow.png

Machine learning frameworks such as TensorFlow and Keras have revolutionized the field of artificial intelligence. These frameworks help machine learning and deep learning engineers to tackle new projects without worrying about technical issues. Interestingly, you cannot compare TensorFlow and Keras, as Keras acts as a wrapper for the TensorFlow framework. You can install TensorFlow Keras together to get the best of the two frameworks.

Keras is a reliable tool for machine learning professionals working in Python. It works by utilizing schemes and models that guide the distribution and transformation of data. Machine learning involves processing information through programmed data with specific decisions that depend on specific data. Learn more about the prerequisites and important steps to install Keras with TensorFlow.

What are the prerequisites for installing Keras?

The best practices for installing TensorFlow Keras on your system will first focus on the prerequisites. You will need a server that provides root level access. Another important requirement for installing Keras is the installation of TensorFlow. You can select CentOS 7 as the preferred operating system for the installation process.

What are the steps to install Keras with TensorFlow?

Answers to questions like “How do I install TensorFlow and Keras?” guide you through a systematic process, including installing the required dependencies. Before you can install Keras, you must install Python and TensorFlow.

Installing Python

Python is a key requirement for installing Keras. The main reason for installing Python is because Keras is a Python-based framework. To install Keras, you must choose the latest version of Python. Here is an overview of the steps you need to follow to install the latest version of Python 3.

  • Update your environment

We need to ensure that we have an updated environment with all the required packages in place. The command to update the environment is:

[root@centos7 ~]# yum update –y

After updating your environment, you can install Python 3 using the following command line:

[root@centos7 ~]# yum install -y python3

Another answer to the question “How do I install TensorFlow and Keras?” is to use the Pip Python package manager, which helps you install Python package managers with Python 3 packages.

  • Verifying the Python installation

Once you have installed Python 3, it is important to ensure that the installation is usable and stable, so you can use a Python 3 shell with a command like the following:

[root@centos7 ~]# python3

Python 3.6.8 (default, May 30, 2024, 17:28:10) 

[GCC 4.8.5 20150623 (Red Hat 4.8.5-39)] on Linux

Type "help," "copyright," "credits," or "license" for more information.


The output will show you what version of Python 3 you have on your system, as well as different types of command prompt characters, and in some cases, you can choose source installation to install the latest version of Python.

Understand the real potential of AI and best practices for using AI tools with our AI For Business course.

Installing TensorFlow

In the next step, you need to install TensorFlow, which is compatible with Keras, to proceed with the installation process. TensorFlow is a powerful backend engine that is a mandatory prerequisite for installing Keras. Here are the steps to install TensorFlow on your system:

  • Set up your virtual environment

The first step to installing TensorFlow is to create a virtual environment. First, you need to create a folder with the following command:

# mkdir test

# cd test

You can set up a virtual environment using Python. The following command helps you create a virtual environment named “tf-virtual-env”, you can replace the name as needed.

# python3 -m venv tf-virtual-env

An environment is a key requirement for installing Keras and TensorFlow. The environment gives you access to various pre-installed Python tools and libraries, such as Pip and the Python package installer. Use the following command to get a working virtual environment:

# source tf-virtual-env/bin/activate

If you have a production virtual environment, you will see the following changes to your prompt:

(tf-virtual-env) # _

At the prompt, type deactivate and press Enter to exit the virtual environment. Note that TensorFlow installation requires Pip 19.0 version. The following command can help you check the version of Pip installed on your system:

# pip install --upgrade pip  
  • Installing TensorFlow

You can install TensorFlow Keras without requiring GPU support. The following command helps you install the TensorFlow version that does not require GPU support.

# pip install --upgrade tensorflow

You can also use the same command to update TensorFlow:

  • Virtual Environment Testing

The final step in installing TensorFlow is to test the environment. You can start testing your virtual environment by opening a Python bash with the following command:

# python

The next phase of this step imports the TensorFlow package into your Python interpreter session and prints the version of TensorFlow installed on your system.

import tensorflow as tf


Enroll in our ChatGPT Foundations course now and dive into the world of prompt engineering through practical demonstrations.

Installing Keras

With the recent update of TensorFlow 2.0+, the complexity of installing TensorFlow Keras has been greatly reduced. You do not need to install Keras if you follow the instructions to complete the TensorFlow installation process.

You can verify your Keras installation by accessing Python bash with the following command:

# python

The next step requires using the following command in the terminal:

Import keras


The following instructions will help users using TensorFlow versions earlier than 2.0 who want to install Keras using the Pip package manager.

You can install Keras on your system with TensorFlow and Python using the following simple command:

pip3 install keras 

Another simple command can be useful to verify the Keras installation: The output of the following command will also show the package information:

pip3 show keras

Identify new ways to unlock the full potential of generative AI for your business use cases and become an expert in generative AI technology with the Generative AI skills path

Can I import the Keras library into my Keras TensorFlow installation?

A Python virtual environment is a key requirement for installing TensorFlow with Keras as it provides easy access to the most important libraries. Python libraries help you access a wide range of functionality to work on your machine learning projects. Some of the important Python libraries included in a virtual environment are Numpy, Scipy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.

How do I update my Keras installation?

The flexibility of being able to install Keras and TensorFlow together, so that they can be updated simultaneously, is a promising advantage: the commands to update TensorFlow will also help you update the Keras installation on your system.

# pip install --upgrade tensorflow

The last word

The steps to install Keras on your system with TensorFlow provide a simple guide to access the most powerful machine learning framework. You can find answers to questions such as “How do I install TensorFlow and Keras?” without needing a virtual environment. However, it can be riskier and more complicated than the commands used in preconfigured environments.

TensorFlow and Keras offer various features that make your machine learning projects work more efficiently and simply. Before installing the frameworks, learn more about TensorFlow and Keras to find out their benefits and how they work. Find the best resources to get to know the features of TensorFlow and Keras now.

Advance your career with the 101 Blockchains learning program

You may also like

Leave a Comment

About Us


At InvestXyon, we empower individuals with knowledge for informed investing, financial navigation, and secure futures. Our trusted platform covers investments, stocks, personal finance, retirement, and more.

Feature Posts


Subscribe my Newsletter for new blog posts, tips & new photos. Let's stay updated!