Saves a model as a `.keras`

file.

## Arguments

- model
A keras model.

- filepath
string, Path where to save the model. Must end in

`.keras`

.- overwrite
Whether we should overwrite any existing model at the target location, or instead ask the user via an interactive prompt.

- ...
For forward/backward compatability.

## Value

If `filepath`

is provided, then this function is called primarily
for side effects, and `model`

is returned invisibly. If `filepath`

is not
provided or `NULL`

, then the serialized model is returned as an R raw
vector.

## Examples

```
model <- keras_model_sequential(input_shape = c(3)) |>
layer_dense(5) |>
layer_activation_softmax()
model |> save_model("model.keras")
loaded_model <- load_model("model.keras")
```

```
x <- random_uniform(c(10, 3))
stopifnot(all.equal(
model |> predict(x),
loaded_model |> predict(x)
))
```

The saved `.keras`

file contains:

The model's configuration (architecture)

The model's weights

The model's optimizer's state (if any)

Thus models can be reinstantiated in the exact same state.

`zip::zip_list("model.keras")[, "filename"]`

## See also

Other saving and loading functions: `export_savedmodel.keras.src.models.model.Model()`

`layer_tfsm()`

`load_model()`

`load_model_weights()`

`register_keras_serializable()`

`save_model_config()`

`save_model_weights()`

`with_custom_object_scope()`