Changed ModelNetV3 to MobileNetV3.
@@ -77,14 +77,14 @@ BASE_DOCSTRING = """Instantiates the {name} architecture.
https://keras.io/guides/transfer_learning/).
Note: each Keras Application expects a specific kind of input preprocessing.
- For ModelNetV3, by default input preprocessing is included as a part of the
+ For MobileNetV3, by default input preprocessing is included as a part of the
model (as a `Rescaling` layer), and thus
`tf.keras.applications.mobilenet_v3.preprocess_input` is actually a
- pass-through function. In this use case, ModelNetV3 models expect their inputs
+ pass-through function. In this use case, MobileNetV3 models expect their inputs
to be float tensors of pixels with values in the [0-255] range.
At the same time, preprocessing as a part of the model (i.e. `Rescaling`
layer) can be disabled by setting `include_preprocessing` argument to False.
- With preprocessing disabled ModelNetV3 models expect their inputs to be float
+ With preprocessing disabled MobileNetV3 models expect their inputs to be float
tensors of pixels with values in the [-1, 1] range.
Args:
