Keras is a machine learning framework built on TensorFlow to facilitate scaling a machine learning app to large GPU clusters relatively easily.
Problem Formulation: Given a PyCharm project. How to install the Keras library in your project within a virtual environment or globally?
Here’s a solution that always works:
- Open
File > Settings > Project
from the PyCharm menu. - Select your current project.
- Click the
Python Interpreter
tab within your project tab. - Click the small
+
symbol to add a new library to the project. - Now type in the library to be installed, in your example
"keras"
without quotes, and clickInstall Package
. - Wait for the installation to terminate and close all popup windows.
Here’s the installation process as a short animated video—it works analogously for the Keras library, just type in “keras” in the search field instead:

Make sure to select only “keras” because there are many other packages that are not required but also contain the same term (false positives):

Alternatively, you can run the pip install keras
command in your PyCharm “Terminal” view:
$ pip install keras
The following figure shows how to use pip to install the Keras package:

You can check your installation using the following two lines of Python code that print out the version of the package:
import keras print(keras.__version__)
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