Removed references to depth_multiplier in keras.applications.MobileNetV2 docs
@@ -742,7 +742,7 @@ These weights are released under [the Apache License](https://github.com/tensorf
```python
-keras.applications.mobilenet_v2.MobileNetV2(input_shape=None, alpha=1.0, depth_multiplier=1, include_top=True, weights='imagenet', input_tensor=None, pooling=None, classes=1000)
+keras.applications.mobilenet_v2.MobileNetV2(input_shape=None, alpha=1.0, include_top=True, weights='imagenet', input_tensor=None, pooling=None, classes=1000)
```
MobileNetV2 model, with weights pre-trained on ImageNet.
@@ -771,8 +771,6 @@ The default input size for this model is 224x224.
of filters in each layer.
- If `alpha` = 1, default number of filters from the paper
are used at each layer.
-- depth_multiplier: depth multiplier for depthwise convolution
- (also called the resolution multiplier)
- include_top: whether to include the fully-connected
layer at the top of the network.
- weights: one of `None` (random initialization),
@@ -804,7 +802,7 @@ A Keras model instance.
### Raises
ValueError: in case of invalid argument for `weights`,
- or invalid input shape or invalid depth_multiplier, alpha,
+ or invalid input shape, alpha,
rows when weights='imagenet'
### References
