application_mobilenet_v2
MobileNetV2 model architecture
Description
MobileNetV2 model architecture
Usage
application_mobilenet_v2(
input_shape = NULL,
alpha = 1,
include_top = TRUE,
weights = "imagenet",
input_tensor = NULL,
pooling = NULL,
classes = 1000,
classifier_activation = "softmax",
...
)
mobilenet_v2_preprocess_input(x)
mobilenet_v2_decode_predictions(preds, top = 5)
mobilenet_v2_load_model_hdf5(filepath)
Arguments
Arguments | Description |
---|---|
input_shape | optional shape list, only to be specified if include_top is FALSE (otherwise the input shape has to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 inputs channels, and width and height should be no smaller than 32. E.g. (200, 200, 3) would be one valid value. |
alpha | controls the width of the network. - If alpha < 1.0, proportionally decreases the number of filters in each layer. - If alpha > 1.0, proportionally increases the number of filters in each layer. - If alpha = 1, default number of filters from the paper are used at each layer. |
include_top | whether to include the fully-connected layer at the top of the network. |
weights | NULL (random initialization), imagenet (ImageNet weights), or the path to the weights file to be loaded. |
input_tensor | optional Keras tensor (i.e. output of layer_input() ) to use as image input for the model. |
pooling | Optional pooling mode for feature extraction when include_top is FALSE . - NULL means that the output of the model will be the 4D tensor output of the last convolutional layer. - avg means that global average pooling will be applied to the output of the last convolutional layer, and thus the output of the model will be a 2D tensor. - max means that global max pooling will be applied. |
classes | optional number of classes to classify images into, only to be specified if include_top is TRUE, and if no weights argument is specified. |
classifier_activation | A string or callable. The activation function to use on the “top” layer. Ignored unless include_top = TRUE . Set classifier_activation = NULL to return the logits of the “top” layer. Defaults to 'softmax' . When loading pretrained weights, classifier_activation can only be NULL or "softmax" . |
… | For backwards and forwards compatibility |
x | input tensor, 4D |
preds | Tensor encoding a batch of predictions. |
top | integer, how many top-guesses to return. |
filepath | File path |
Section
Reference
Value
application_mobilenet_v2()
and mobilenet_v2_load_model_hdf5()
return a Keras model instance. mobilenet_v2_preprocess_input()
returns image input suitable for feeding into a mobilenet v2 model. mobilenet_v2_decode_predictions()
returns a list of data frames with variables class_name
, class_description
, and score
(one data frame per sample in batch input).
See Also
application_mobilenet