tf.keras.layers.ZeroPadding1D
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Zero-padding layer for 1D input (e.g. temporal sequence).
Inherits From: Layer
tf.keras.layers.ZeroPadding1D(
padding=1, **kwargs
)
Arguments |
padding
|
Int, or tuple of int (length 2), or dictionary.
- If int:
How many zeros to add at the beginning and end of
the padding dimension (axis 1).
- If tuple of int (length 2):
How many zeros to add at the beginning and at the end of
the padding dimension (
(left_pad, right_pad) ).
|
3D tensor with shape (batch, axis_to_pad, features)
Output shape:
3D tensor with shape (batch, padded_axis, features)
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.layers.ZeroPadding1D\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/layers/ZeroPadding1D) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/layers/convolutional.py#L2073-L2110) |\n\nZero-padding layer for 1D input (e.g. temporal sequence).\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer)\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.layers.ZeroPadding1D`](/api_docs/python/tf/keras/layers/ZeroPadding1D), \\`tf.compat.v2.keras.layers.ZeroPadding1D\\`\n\n\u003cbr /\u003e\n\n tf.keras.layers.ZeroPadding1D(\n padding=1, **kwargs\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `padding` | Int, or tuple of int (length 2), or dictionary. \u003cbr /\u003e - If int: How many zeros to add at the beginning and end of the padding dimension (axis 1). - If tuple of int (length 2): How many zeros to add at the beginning and at the end of the padding dimension (`(left_pad, right_pad)`). |\n\n#### Input shape:\n\n3D tensor with shape `(batch, axis_to_pad, features)`\n\n#### Output shape:\n\n3D tensor with shape `(batch, padded_axis, features)`"]]