|View source on GitHub|
Instantiates a NASNet model in ImageNet mode.
See Migration guide for more details.
tf.keras.applications.NASNetLarge( input_shape=None, include_top=True, weights='imagenet', input_tensor=None, pooling=None, classes=1000 )
Optionally loads weights pre-trained on ImageNet. Note that the data format convention used by the model is the one specified in your Keras config at
| || Optional shape tuple, only to be specified if |
| ||Whether to include the fully-connected layer at the top of the network.|
| || |
| || Optional Keras tensor (i.e. output of |
| || Optional pooling mode for feature extraction when |
| || Optional number of classes to classify images into, only to be specified if |
|A Keras model instance.|
| || in case of invalid argument for |
| ||If attempting to run this model with a backend that does not support separable convolutions.|
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.