Help protect the Great Barrier Reef with TensorFlow on Kaggle

# tf.image.random_flip_left_right

Randomly flip an image horizontally (left to right).

### Used in the notebooks

Used in the tutorials

With a 1 in 2 chance, outputs the contents of `image` flipped along the second dimension, which is `width`. Otherwise output the image as-is. When passing a batch of images, each image will be randomly flipped independent of other images.

#### Example usage:

````image = np.array([[[1], [2]], [[3], [4]]])`
`tf.image.random_flip_left_right(image, 5).numpy().tolist()`
`[[[2], [1]], [[4], [3]]]`
```

Randomly flip multiple images.

````images = np.array(`
`[`
`    [[[1], [2]], [[3], [4]]],`
`    [[[5], [6]], [[7], [8]]]`
`])`
`tf.image.random_flip_left_right(images, 6).numpy().tolist()`
`[[[[2], [1]], [[4], [3]]], [[[5], [6]], [[7], [8]]]]`
```

For producing deterministic results given a `seed` value, use `tf.image.stateless_random_flip_left_right`. Unlike using the `seed` param with `tf.image.random_*` ops, `tf.image.stateless_random_*` ops guarantee the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g. tf.random.set_seed).

`image` 4-D Tensor of shape `[batch, height, width, channels]` or 3-D Tensor of shape `[height, width, channels]`.
`seed` A Python integer. Used to create a random seed. See `tf.compat.v1.set_random_seed` for behavior.

A tensor of the same type and shape as `image`.

`ValueError` if the shape of `image` not supported.

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