|View source on GitHub|
Instantiates the ResNet101 architecture.
See Migration guide for more details.
tf.keras.applications.resnet.ResNet101( include_top=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000, **kwargs )
- Deep Residual Learning for Image Recognition (CVPR 2015)
For image classification use cases, see this page for detailed examples.
For transfer learning use cases, make sure to read the guide to transfer learning & fine-tuning.
||whether to include the fully-connected layer at the top of the network.|
one of |