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modulenotfounderror: no module named ‘keras’<\/strong> is one of the most annoying errors that so many machine learning and AI enthusiast have to come across. Some people have to try for days to just import Keras into their python code. It’s very frustrating and annoying indeed. Isn’t it annoying to fail at the very beginning of your project? There are so many things to be done using Keras, but what if you can’t even import it?<\/p>\n\n\n\n This is for anyone just wondering here reading this post by chance. Keras in its simplest terms is a High-Level python neural network library that mainly runs on top of TensorFlow. In other terms, Keras provides a python interface\/API for TensorFlow. It may sound confusing but TensorFlow and Keras go hand in hand. You probably know this if you have been working with ML and AI for a while.<\/p>\n\n\n\n modulenotfounderror<\/strong> is raised when python cannot import a specified module successfully. This can be any module by the way. Having said that, if you are struggling with the error ModuleNotFoundError: No module named \u2018sklearn\u2019<\/strong> read this blog post<\/strong><\/a>.<\/p>\n\n\n\n If you have typed the name Keras and the import command for Keras correctly, then there are few possibilities why you are seeing this error.<\/p>\n\n\n\n In this article, we aren’t going to talk about why Keras fails to install. Instead, we are talking about why python cannot locate and import an installed Keras module. <\/p>\n\n\n\n 99% (well almost..) of the time, the cause of this error is that the python interpreter is unable to locate the Keras module. <\/p>\n\n\n\n Now let’s see the possible causes of these path mismatches and how to fix them.<\/p>\n\n\n\n Usually, what happens is that you have installed Keras and TensorFlow in a dedicated python virtual environment, and trying to execute your python code from another environment. If that is the case, modulenotfounderror: no module named ‘keras’<\/strong> error can be fixed simply following the below instructions. <\/p>\n\n\n\n To fix that you just have to change your running python program’s environment into the environment where Keras has been installed into.<\/p>\n\n\n\n If you are using PyCharm you can do this by editing the program environment in Run\/Debug Configurations<\/strong>. In case if you are using a different IDE like spyder, there are similar methods to change your python project environment. <\/p>\n\n\n\nWhat is Keras?<\/h3>\n\n\n\n
Why do we get modulenotfounderror: no module named ‘keras’<\/strong>?<\/h2>\n\n\n\n
Python cannot locate where Keras has been installed, Hence raises the error modulenotfounderror: no module named ‘keras’<\/strong> <\/h2>\n\n\n\n
You have installed keras in a different python virtual enviornment<\/h2>\n\n\n\n
How to fix no module named keras error<\/h3>\n\n\n\n