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.

Helpful links

• TensorFlow Python Keras Applications
• VGG16
• VGG19
• ResNet50
• InceptionV3
• Xception
• MobileNet

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