Installation of Keras library in Anaconda

In this page, we will learn How to installation Keras library in Anaconda step by step?, How to Download Anaconda, Install Anaconda Python, Create Environment, and how to install pandas, matplotlib, spyder, jupyter in anaconda.

How to installation Keras library in Anaconda step by step?

You will require Anaconda Distribution, which is supported by Continuum Analytics, in order to install Keras. Python and R have platforms provided by Anaconda, an open-source and cost-free distribution. It is platform-independent, so depending on the needs of the user, it may be installed on any operating system, including MAC OS, Windows, and Linux. It has developed more than 1500 Python/R packages that are essential for creating deep learning and machine learning models.

It offers a simple Python installation together with a variety of IDEs, including Spyder, Anaconda prompt, Jupyter Notebook, and others. In order to give its users as much ease as possible, it will automatically install Python after installation, together with some of its fundamental IDEs and libraries.

The steps that demonstrate how to install Keras are as follows:

Step1: How to Download Anaconda

You can either open your preferred browser and type "Download Anaconda Python" into the search bar, or you can just click the link provided below to download Anaconda.
how to download Anaconda

You will be taken to the Anaconda download page if you click the first link, as seen below:

Anaconda individual download page

You'll see that Anaconda is compatible with a number of operating systems, including Windows, MAC OS, and Linux. You can download it by selecting one of the choices according to your OS. You can choose between Python 2.7 and Python 3.7. Python 3.7 is the most recent version, so click the download button to get it. Following your selection of the download choice, the downloading will begin automatically.

selecting operating system for anaconda

Step2: Install Anaconda Python

Go to the downloaded folder and click on the Anaconda's .exe file (Anaconda3-2019.03-Windows-x86 64.exe) after the download is complete. The setup box for the Anaconda installation will open, and you must select Next as seen below:

installation of anaconda

To continue with the installation, click I Agree in the License Agreement window that appears after selecting Next.

terms and condition of anaconda

Following that, you will be taken to a box where you will be asked where the installation will take place. You can choose to leave it as the default location or change it by browsing to a location and then clicking on Next, as demonstrated below:

anaconda installation type

Click on Install.

selcting of installation location

Click Next once the installation is complete.

installation options

After the installation is finished, click Finish to finish the process.

final steps of anaconda installation

Step3: Create Environment

You must now construct a new CONDA environment where all of your modules will be installed in order to build your models when you have finished installing Anaconda.

By typing "Anaconda prompt" into the search box, clicking right on it, and choosing the first option, "Run as administrator", you can launch Anaconda prompt as an administrator.

finished screen of anaconda installation

Your anaconda prompt will open after you click on it and will appear like the illustration below.

anaconda command prompt

You must then establish an environment. This requires you to enter the following command after writing it on the Anaconda prompt. Although deeplearning refers to the environment's name in this case, you can write anything you choose.

conda create --name deeplearning
creating project in anaconda

You can see from the screenshot above that it asks you for the package plan environment location; simply select Y and then press Enter.

Permission for saving project

Therefore, it is clear from the graphic above that you were successful in creating an environment. The environment you earlier established has to be activated as the following action. Write the following to activate the environment:

activate deeplearning
activate project

You can see that you are in this setting from the image up above.

The next step is to install Keras, which you can do quickly by using the command listed below.

conda install -c anaconda keras
how to instal keras in anaconda

As you can see, it is requesting that you install the aforementioned packages, so press y to continue.

keras install successful

You can see from the image above that the installation was successful.

You must perform a few installations once again because this is a new environment in order to prevent errors: An error message: ModuleNotFoundError: No module named 'keras' was found while importing Keras."

Due to the fact that Jupyter and Spyder are not preinstalled when you establish an environment, you must run two of the most crucial tasks.

You should first run the jupyter command, which is as follows:

conda install jupyter
how to instal jupyter Notebook in anaconda

When prompted to install the following packages once more, simply type y to continue.

Options for installation of jupyter notebook

It has been deployed successfully, as you can see in the picture up top.

Then you will follow suit with spyder.

conda install spyder
how to install spyder in anaconda

Since this is your first time, it will once again prompt you for a y or n response. You can just continue by clicking y as you did previously.

options installing spyder in anaconda

Your installation has been successfully completed, as you can see.

For visualization, you would need to install matplotlib. The same process will be followed once more.

conda install matplotlib
how to install matplotlib in anaconda

You will be prompted with a y/n choice; select y to continue.

options for matplotlib

You may verify that matplotlib was successfully installed.

Last but not least, you will install pandas, and this time the process is the same.

conda install pandas
how to instal pandas in anaconda

Click on y to continue.

options for installation of pandas

You can see that it has been installed successfully from the image up top.