tf.keras.layers.Conv3DTranspose

TensorFlow 1 version

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Cropping layer for 1D input (e.g. temporal sequence).

Inherits From: Layer, Module

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.Cropping1D

tf.keras.layers.Cropping1D(
    cropping=(1, 1), **kwargs
)

It crops along the time dimension (axis 1).

Examples:

input_shape = (2, 3, 2)
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.Cropping1D(cropping=1)(x)
print(y)
tf.Tensor(
  [[[2 3]]
   [[8 9]]], shape=(2, 1, 2), dtype=int64)

Arguments
`cropping`	Int or tuple of int (length 2) How many units should be trimmed off at the beginning and end of the cropping dimension (axis 1). If a single int is provided, the same value will be used for both.

Input shape:

3D tensor with shape (batch_size, axis_to_crop, features)

Output shape:

3D tensor with shape (batch_size, cropped_axis, features)

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tf.keras / layers / layers.Conv3DTranspose

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Examples:

Arguments

Input shape:

Output shape: