python-kerasHow can I use the applications attribute in TensorFlow Python Keras?
The applications attribute in TensorFlow Python Keras can be used to quickly and easily create deep learning models. It contains several pre-trained models that are ready to be used in your own applications.
For example, you can use the applications attribute to quickly and easily create a convolutional neural network model:
from tensorflow.keras.applications import VGG16
model = VGG16()This code will create a VGG16 convolutional neural network model that is ready to be used.
The applications attribute contains a list of several pre-trained models, including:
- VGG16
- VGG19
- ResNet50
- InceptionV3
- Xception
- MobileNet
Each of these models can be used to quickly and easily create a deep learning model.
The code to create a model using the applications attribute is the same for each model. For example, the code to create a ResNet50 model is:
from tensorflow.keras.applications import ResNet50
model = ResNet50()The output of this code is a ResNet50 model that is ready to be used.
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