tf.keras.layers.ThresholdedReLU

TensorFlow 1 version

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Upsampling layer for 1D inputs.

Inherits From: Layer, Module

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.UpSampling1D

tf.keras.layers.UpSampling1D(
    size=2, **kwargs
)

Repeats each temporal step size times along the time axis.

Examples:

input_shape = (2, 2, 3)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
print(x)
[[[ 0  1  2]
  [ 3  4  5]]
 [[ 6  7  8]
  [ 9 10 11]]]
y = tf.keras.layers.UpSampling1D(size=2)(x)
print(y)
tf.Tensor(
  [[[ 0  1  2]
    [ 0  1  2]
    [ 3  4  5]
    [ 3  4  5]]
   [[ 6  7  8]
    [ 6  7  8]
    [ 9 10 11]
    [ 9 10 11]]], shape=(2, 4, 3), dtype=int64)

Arguments
`size`	Integer. Upsampling factor.

Input shape:

3D tensor with shape: (batch_size, steps, features).

Output shape:

3D tensor with shape: (batch_size, upsampled_steps, features).

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tf.keras / layers / layers.ThresholdedReLU

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Examples:

Arguments

Input shape:

Output shape: