Keras - Permute Layers


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Permute is also used to change the shape of the input using pattern. For example, if Permute with argument (2, 1) is applied to layer having input shape as (batch_size, 3, 2), then the output shape of the layer will be (batch_size, 2, 3)

Permute has one argument as follows −

keras.layers.Permute(dims)

A simple example to use Permute layers is as follows −

>>> from keras.models import Sequential 
>>> from keras.layers import Activation, Dense, Permute 
>>> 
>>> 
>>> model = Sequential() 
>>> layer_1 = Dense(16, input_shape = (8, 8)) 
>>> model.add(layer_1) 
>>> layer_2 = Permute((2, 1)) 
>>> model.add(layer_2) 
>>> layer_2.input_shape (None, 8, 16) 
>>> layer_2.output_shape (None, 16, 8)
>>>

where, (2, 1) is set as pattern.

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