Upsampling layer for 1D inputs.
Repeats each temporal step size times along the time axis.
layer_upsampling_1d( object, size = 2L, batch_size = NULL, name = NULL, trainable = NULL, weights = NULL )
object |
Model or layer object |
size |
integer. Upsampling factor. |
batch_size |
Fixed batch size for layer |
name |
An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided. |
trainable |
Whether the layer weights will be updated during training. |
weights |
Initial weights for layer. |
3D tensor with shape: (batch, steps, features).
3D tensor with shape: (batch, upsampled_steps, features).
Other convolutional layers:
layer_conv_1d_transpose(),
layer_conv_1d(),
layer_conv_2d_transpose(),
layer_conv_2d(),
layer_conv_3d_transpose(),
layer_conv_3d(),
layer_conv_lstm_2d(),
layer_cropping_1d(),
layer_cropping_2d(),
layer_cropping_3d(),
layer_depthwise_conv_2d(),
layer_separable_conv_1d(),
layer_separable_conv_2d(),
layer_upsampling_2d(),
layer_upsampling_3d(),
layer_zero_padding_1d(),
layer_zero_padding_2d(),
layer_zero_padding_3d()
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