`R/layers-preprocessing.R`

`layer_random_translation.Rd`

Randomly translate each image during training

```
layer_random_translation(
object,
height_factor,
width_factor,
fill_mode = "reflect",
interpolation = "bilinear",
seed = NULL,
fill_value = 0,
...
)
```

- object
What to compose the new

`Layer`

instance with. Typically a Sequential model or a Tensor (e.g., as returned by`layer_input()`

). The return value depends on`object`

. If`object`

is:missing or

`NULL`

, the`Layer`

instance is returned.a

`Sequential`

model, the model with an additional layer is returned.a Tensor, the output tensor from

`layer_instance(object)`

is returned.

- height_factor
a float represented as fraction of value, or a list of size 2 representing lower and upper bound for shifting vertically. A negative value means shifting image up, while a positive value means shifting image down. When represented as a single positive float, this value is used for both the upper and lower bound. For instance,

`height_factor = c(-0.2, 0.3)`

results in an output shifted by a random amount in the range`[-20%, +30%]`

.`height_factor = 0.2`

results in an output height shifted by a random amount in the range`[-20%, +20%]`

.- width_factor
a float represented as fraction of value, or a list of size 2 representing lower and upper bound for shifting horizontally. A negative value means shifting image left, while a positive value means shifting image right. When represented as a single positive float, this value is used for both the upper and lower bound. For instance,

`width_factor = c(-0.2, 0.3)`

results in an output shifted left by 20%, and shifted right by 30%.`width_factor = 0.2`

results in an output height shifted left or right by 20%.- fill_mode
Points outside the boundaries of the input are filled according to the given mode (one of

`{"constant", "reflect", "wrap", "nearest"}`

).*reflect*:`(d c b a | a b c d | d c b a)`

The input is extended by reflecting about the edge of the last pixel.*constant*:`(k k k k | a b c d | k k k k)`

The input is extended by filling all values beyond the edge with the same constant value k = 0.*wrap*:`(a b c d | a b c d | a b c d)`

The input is extended by wrapping around to the opposite edge.*nearest*:`(a a a a | a b c d | d d d d)`

The input is extended by the nearest pixel.

- interpolation
Interpolation mode. Supported values:

`"nearest"`

,`"bilinear"`

.- seed
Integer. Used to create a random seed.

- fill_value
a float represents the value to be filled outside the boundaries when

`fill_mode="constant"`

.- ...
standard layer arguments.

Other image augmentation layers:
`layer_random_contrast()`

,
`layer_random_crop()`

,
`layer_random_flip()`

,
`layer_random_height()`

,
`layer_random_rotation()`

,
`layer_random_width()`

,
`layer_random_zoom()`

Other preprocessing layers:
`layer_category_encoding()`

,
`layer_center_crop()`

,
`layer_discretization()`

,
`layer_hashing()`

,
`layer_integer_lookup()`

,
`layer_normalization()`

,
`layer_random_contrast()`

,
`layer_random_crop()`

,
`layer_random_flip()`

,
`layer_random_height()`

,
`layer_random_rotation()`

,
`layer_random_width()`

,
`layer_random_zoom()`

,
`layer_rescaling()`

,
`layer_resizing()`

,
`layer_string_lookup()`

,
`layer_text_vectorization()`