tf.keras.applications.resnet_rs.ResNetRS101
Stay organized with collections
Save and categorize content based on your preferences.
Build ResNet-RS101 model.
tf.keras.applications.resnet_rs.ResNetRS101(
include_top=True,
weights='imagenet',
classes=1000,
input_shape=None,
input_tensor=None,
pooling=None,
classifier_activation='softmax',
include_preprocessing=True
)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.applications.resnet_rs.ResNetRS101\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.9.0/keras/applications/resnet_rs.py#L827-L853) |\n\nBuild ResNet-RS101 model.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.applications.ResNetRS101`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/resnet_rs/ResNetRS101)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n\\`tf.compat.v1.keras.applications.ResNetRS101\\`, \\`tf.compat.v1.keras.applications.resnet_rs.ResNetRS101\\`\n\n\u003cbr /\u003e\n\n tf.keras.applications.resnet_rs.ResNetRS101(\n include_top=True,\n weights='imagenet',\n classes=1000,\n input_shape=None,\n input_tensor=None,\n pooling=None,\n classifier_activation='softmax',\n include_preprocessing=True\n )"]]