In this tutorial, we will learn the solutions to resolve the error no module named keras.objectives. Alternatively, multiple programmers will install these modules (called “Keras”) into a different virtual environment.
Running the code in a different Python environment, so that’s why the error will occur.
Before we proceed to the solutions to solve the error, we will discuss first the meaning of keras.obejctive
What is keras.objectives?
The ‘keras.objectives’ is a module in the earlier versions of the Keras library which is provided loss functions for training deep learning models.
It consists of a collection of objective functions, which are called as loss functions or cost functions.
Which are used to calculate the difference between the predicted and actual output of a neural network during training.
These functions were used to optimize the network’s parameters in order to minimize the difference between the predicted and actual output.
Also, you may read or visit the other resolve error:
Why the ModuleNotFoundError: No module named ‘keras.objectives’ occur?
The error message “ModuleNotFoundError: No module named ‘keras.objectives’” usually occurs because the Python interpreter cannot find the installed “keras.objectives” module on your system.
There are multiple possible reasons why this error might occur:
- Missing or outdated Keras installation:
- Typo or wrong spelling to install the module name keras
- Deprecated module
- Missing dependency
- Installation of keras module is interrupted
How to solve the error no module named ‘keras.objectives’?
Moreover, this error message will occur if you’re trying to import the “keras.objectives” module, yet it isn’t installed on your system.
This module was removed in Keras 2.0, so if you are using a newer version of Keras. Then it is required that you update your code to use the new module names.
Time needed: 3 minutes
Here are the steps to solve the error no module named ‘keras.objectives’
- Step 1: Check the installed Keras module
Firstly, you can check the Keras module if it is installed on your system. Open terminal or command prompt and run the following command:
pip show keras
If you run the command above it will show an information about the Keras package, including the version number.
If the keras module is haven’t been installed, you will proceed to the next step. - Step 2: Install keras module
In your project root folder directory, open terminal or command prompt and run the following command:
pip install keras
If you run the command above it will install the latest keras packages in your python environment
- Step 3: Install keras module in specific version
You can also install the specific version because sometimes the program you are running will find a specific version of keras to install.
You can do this by opening a terminal or command prompt and run the following command:pip install keras==2.4.1
If you execute the command above it will install the specific keras packages in your python environment.
- Step 4: Change Module Name
If you are still getting the error, you will need to update your code to use into the new module names. In Keras 2.0 and above, the “keras.objectives” module was removed or deprecated, and its functions were modified to the “keras.losses” module. You can update your code with the following:
from keras.losses import binary_crossentropy
Frequently Asked Questions
What is Python ModuleNotFoundError and what causes it?
ModuleNotFoundError (a subclass of ImportError) is raised when Python cannot find the module you tried to import. Common causes: the package isn’t installed (pip install missing), wrong virtual environment activated, typo in module name, or Python can’t find your local module on the import path. The error message names exactly which module is missing.
How do I fix ‘ModuleNotFoundError: No module named X’?
Run pip install X first. If that succeeds but you still get the error, check which Python you’re using (which python OR python –version) vs which pip (which pip OR pip –version), they must match. Common gotcha: pip points to system Python 3.9 but you’re running python3.11 in a venv. Inside the venv, use python -m pip install X to be sure pip matches the active Python.
Why does my code work in one environment but not another?
Different Python versions or different installed packages. To diagnose: pip freeze > requirements.txt on the working environment, then pip install -r requirements.txt on the broken one. Use virtualenv (python -m venv venv) or conda for every project to avoid system-wide package collisions.
Is ModuleNotFoundError the same as ImportError?
ModuleNotFoundError is a subclass of ImportError added in Python 3.6. It specifically means ‘no such module exists.’ Plain ImportError covers a wider set: module exists but a name inside it can’t be imported (e.g. ‘cannot import name X from Y’). except ImportError catches both; except ModuleNotFoundError catches only the missing-module case.
Where can I find more ModuleNotFoundError fixes?
Browse the ModuleNotFoundError reference hub for 198+ specific module fixes (TensorFlow, Flask, Django, pandas, numpy, etc.). For related issues see ImportError. For broader Python setup see Python Tutorial hub.
Conclusion
To conclude for this tutorial, I hope the above steps can help you to solve the error modulenotfounderror: no module named keras.objectives in your python program projects. Let me know if you have any further questions.
Adones Evangelista
Programmer & Technical Writer at PIES IT Solution
Adones Evangelista is a programmer and writer at PIES IT Solution, author of over 900 tutorials and error-fix guides at itsourcecode.com. Specializes in JavaScript, Django, Laravel, and Python error debugging covering ValueError, TypeError, AttributeError, ModuleNotFoundError, and RuntimeError, plus C/C++ and PHP capstone projects for BSIT students.
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