`Reshape`

class```
tf.keras.layers.Reshape(target_shape, **kwargs)
```

Layer that reshapes inputs into the given shape.

**Input shape**

Arbitrary, although all dimensions in the input shape must be known/fixed.
Use the keyword argument `input_shape`

(tuple of integers, does not include
the samples/batch size axis) when using this layer as the first layer
in a model.

**Output shape**

`(batch_size,) + target_shape`

**Example**

```
``````
>>> # as first layer in a Sequential model
>>> model = tf.keras.Sequential()
>>> model.add(tf.keras.layers.Reshape((3, 4), input_shape=(12,)))
>>> # model.output_shape == (None, 3, 4), `None` is the batch size.
>>> model.output_shape
(None, 3, 4)
```

```
``````
>>> # as intermediate layer in a Sequential model
>>> model.add(tf.keras.layers.Reshape((6, 2)))
>>> model.output_shape
(None, 6, 2)
```

```
``````
>>> # also supports shape inference using `-1` as dimension
>>> model.add(tf.keras.layers.Reshape((-1, 2, 2)))
>>> model.output_shape
(None, 3, 2, 2)
```