Instantiates the RegNetX032 architecture.
tf.keras.applications.regnet.RegNetX032( model_name='regnetx032', include_top=True, include_preprocessing=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000, classifier_activation='softmax' )
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.
Note: Each Keras Application expects a specific kind of input preprocessing. For Regnets, preprocessing is included in the model using a Rescaling
layer. RegNet models expect their inputs to be float or uint8 tensors of pixels with values in the [0-255] range.
The naming of models is as follows: RegNet<block_type><flops>
where block_type
is one of (X, Y)
and flops
signifies hundred million floating point operations. For example RegNetY064 corresponds to RegNet with Y block and 6.4 giga flops (64 hundred million flops).
Args | |
---|---|
include_top | Whether to include the fully-connected layer at the top of the network. Defaults to True. |
weights | One of None (random initialization), "imagenet" (pre-training on ImageNet), or the path to the weights file to be loaded. Defaults to "imagenet" . |
input_tensor | Optional Keras tensor (i.e. output of layers.Input() ) to use as image input for the model. |
input_shape | Optional shape tuple, only to be specified if include_top is False. It should have exactly 3 inputs channels. |
pooling | Optional pooling mode for feature extraction when include_top is False . Defaults to None.
|
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. Defaults to 1000 (number of ImageNet classes). |
classifier_activation | A str or callable. The activation function to use on the "top" layer. Ignored unless include_top=True . Set classifier_activation=None to return the logits of the "top" layer. Defaults to "softmax" . When loading pretrained weights, classifier_activation can only be None or "softmax" . |
Returns | |
---|---|
A keras.Model instance. |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/applications/regnet/RegNetX032