keras: application_inception_resnet_v2 – R documentation

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keras

application_inception_resnet_v2

Inception-ResNet v2 model, with weights trained on ImageNet

Description

Inception-ResNet v2 model, with weights trained on ImageNet

Usage

application_inception_resnet_v2(
  include_top = TRUE,
  weights = "imagenet",
  input_tensor = NULL,
  input_shape = NULL,
  pooling = NULL,
  classes = 1000
)

inception_resnet_v2_preprocess_input(x)

Arguments

`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 to use as image input for the model.
`input_shape`	optional shape list, only to be specified if `include_top` is FALSE (otherwise the input shape has to be `(299, 299, 3)`. It should have exactly 3 inputs channels, and width and height should be no smaller than 75. E.g. `(150, 150, 3)` would be one valid value.
`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.
`x`	Input tensor for preprocessing

Details

Do note that the input image format for this model is different than for the VGG16 and ResNet models (299x299 instead of 224x224).

The inception_resnet_v2_preprocess_input() function should be used for image preprocessing.

Value

A Keras model instance.

Reference

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning(https://arxiv.org/abs/1512.00567)

keras

R Interface to 'Keras'

v2.4.0

MIT + file LICENSE

Authors

Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]

Initial release

application_inception_resnet_v2

Description

Usage

Arguments

Details

Value

Reference

keras

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