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Keras - RepeatVector Layers
RepeatVector is used to repeat the input for set number, n of times. For example, if RepeatVector with argument 16 is applied to layer having input shape as (batch_size, 32), then the output shape of the layer will be (batch_size, 16, 32)
RepeatVector has one arguments and it is as follows −
keras.layers.RepeatVector(n)
A simple example to use RepeatVector layers is as follows −
>>> from keras.models import Sequential >>> from keras.layers import Activation, Dense, RepeatVector >>> >>> >>> model = Sequential() >>> layer_1 = Dense(16, input_shape=(8,)) >>> model.add(layer_1) >>> layer_2 = RepeatVector(16) >>> model.add(layer_2) >>> layer_2.input_shape (None, 16) >>> layer_2.output_shape (None, 16, 16) >>>
where, 16 is set as repeat times.
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