AttributeError: module ‘keras.utils’ has no attribute ‘to_categorical’ error occurs when you try to “access the to_categorical from the keras.utils module, which does not exist in the latest version of TensorFlow.”
To fix the AttributeError: module ‘keras.utils’ has no attribute ‘to_categorical’ error, import to_categorical from keras.utils.np_utils module instead of the ‘keras.utils’ module.
Newer versions of keras==2.4.0 and tensorflow==2.3.0 would work as follows, so use
from keras.utils.np_utils import to_categoricalThen, you can use to_categorical in your code:
categorical_labels = to_categorical(int_labels, num_classes=None)Please replace int_labels with your array of integer labels and num_classes with the total number of classes. If num_classes is None or not defined, then the number of classes will be inferred from the highest integer in int_labels.
That’s it.
Further reading
AttributeError: module ‘keras.utils’ has no attribute ‘plot_model’
AttributeError: module ‘keras.utils’ has no attribute ‘sequence’
AttributeError: module ‘keras.engine’ has no attribute ‘layer’
AttributeError: module ‘keras.preprocessing.image’ has no attribute ‘load_img’
AttributeError: module ‘keras.utils’ has no attribute ‘get_file’
AttributeError: module ‘keras.utils’ has no attribute ‘get_value’
Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
