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keras

application_inception_v3

Inception V3 model, with weights pre-trained on ImageNet.

Description

Inception V3 model, with weights pre-trained on ImageNet.

Usage

application_inception_v3(
  include_top = TRUE,
  weights = "imagenet",
  input_tensor = NULL,
  input_shape = NULL,
  pooling = NULL,
  classes = 1000
)

inception_v3_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_v3_preprocess_input() function should be used for image preprocessing.

Value

A Keras model instance.

Reference

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

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