tf.keras.applications.NASNetMobile
tf.keras.applications.nasnet.NASNetMobile
tf.keras.applications.NASNetMobile( input_shape=None, include_top=True, weights='imagenet', input_tensor=None, pooling=None, classes=1000 )
Defined in tensorflow/python/keras/_impl/keras/applications/nasnet.py
.
Instantiates a Mobile NASNet model in ImageNet mode.
Note that only TensorFlow is supported for now, therefore it only works with the data format image_data_format='channels_last'
in your Keras config at ~/.keras/keras.json
.
input_shape
: Optional shape tuple, only to be specified if include_top
is False (otherwise the input shape has to be (224, 224, 3)
for NASNetMobile It should have exactly 3 inputs channels, and width and height should be no smaller than 32. E.g. (224, 224, 3)
would be one valid value.include_top
: Whether to include the fully-connected layer at the top of the network.weights
: None
(random initialization) or imagenet
(ImageNet weights)input_tensor
: Optional Keras tensor (i.e. output of layers.Input()
) to use as image input for the model.pooling
: Optional pooling mode for feature extraction when include_top
is False
. - None
means that the output of the model will be the 4D tensor output of the last convolutional layer. - avg
means that global average pooling will be applied to the output of the last convolutional layer, and thus the output of the model will be a 2D tensor. - max
means that global max pooling will be applied.classes
: Optional number of classes to classify images into, only to be specified if include_top
is True, and if no weights
argument is specified.A Keras model instance.
ValueError
: In case of invalid argument for weights
, or invalid input shape.RuntimeError
: If attempting to run this model with a backend that does not support separable convolutions.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/applications/NASNetMobile