python-kerasHow can I access the 'applications' attribute in the 'tensorflow.python.keras' module?
To access the 'applications' attribute in the 'tensorflow.python.keras' module, you can use the following code:
import tensorflow.python.keras as keras
applications = keras.applications
The code above imports the module and assigns the applications attribute to a variable.
The applications attribute is a submodule of the tensorflow.python.keras module that contains pre-trained models for use with TensorFlow. It includes models for image classification, object detection, text classification, and more.
The following code shows how to use the applications attribute to load a pre-trained model for image classification:
import tensorflow.python.keras as keras
applications = keras.applications
model = applications.MobileNetV2()
The output of the code above is a pre-trained model for image classification.
Code explanation
import tensorflow.python.keras as keras: imports the module and assigns it to a variableapplications = keras.applications: assigns theapplicationsattribute to a variableapplications.MobileNetV2(): loads a pre-trained model for image classification
Helpful links
More of Python Keras
- How do I use Python Keras to zip a file?
- How do I save weights in a Python Keras model?
- How can I use XGBoost, Python and Keras together to build a machine learning model?
- How can I use word2vec and Keras to develop a machine learning model in Python?
- How do I install Keras on Windows using Python?
- How do I use zero padding in Python Keras?
- How can I use Python and Keras to perform text classification?
- How can I install the python module tensorflow.keras in R?
- How can I use Python Keras with Github?
- How can I use a GPU to run Keras models in Python?
See more codes...