# tf.keras.layers.ZeroPadding1D

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|---|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/layers/ZeroPadding1D) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/layers/convolutional.py#L2073-L2110) |

Zero-padding layer for 1D input (e.g. temporal sequence).

Inherits From: [`Layer`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/layers/Layer)

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.keras.layers.ZeroPadding1D`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/ZeroPadding1D)

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    tf.keras.layers.ZeroPadding1D(
        padding=1, **kwargs
    )

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| ## Arguments ||
|---|---|
| `padding` | Int, or tuple of int (length 2), or dictionary. <br /> - 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)`). |

#### Input shape:

3D tensor with shape `(batch, axis_to_pad, features)`

#### Output shape:

3D tensor with shape `(batch, padded_axis, features)`