Module: tf.keras.applications.nasnet
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NASNet-A models for Keras.
NASNet refers to Neural Architecture Search Network, a family of models
that were designed automatically by learning the model architectures
directly on the dataset of interest.
Here we consider NASNet-A, the highest performance model that was found
for the CIFAR-10 dataset, and then extended to ImageNet 2012 dataset,
obtaining state of the art performance on CIFAR-10 and ImageNet 2012.
Only the NASNet-A models, and their respective weights, which are suited
for ImageNet 2012 are provided.
Architecture |
Top-1 Acc |
Top-5 Acc |
Multiply-Adds |
Params (M) |
NASNet-A (4 @ 1056) |
74.0 % |
91.6 % |
564 M |
5.3 |
NASNet-A (6 @ 4032) |
82.7 % |
96.2 % |
23.8 B |
88.9 |
Reference:
Functions
NASNetLarge(...)
: Instantiates a NASNet model in ImageNet mode.
NASNetMobile(...)
: Instantiates a Mobile NASNet model in ImageNet mode.
decode_predictions(...)
: Decodes the prediction of an ImageNet model.
preprocess_input(...)
: Preprocesses a tensor or Numpy array encoding a batch of images.
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Last updated 2022-10-28 UTC.
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