application_densenet201: Instantiates the Densenet201 architecture.
In keras3: R Interface to 'Keras'

application_densenet201

R Documentation

Instantiates the Densenet201 architecture.

Description

Instantiates the Densenet201 architecture.

Usage

application_densenet201(
  include_top = TRUE,
  weights = "imagenet",
  input_tensor = NULL,
  input_shape = NULL,
  pooling = NULL,
  classes = 1000L,
  classifier_activation = "softmax",
  name = "densenet201"
)

Arguments

`include_top`	whether to include the fully-connected layer at the top of the network.
`weights`	one of `NULL` (random initialization), `"imagenet"` (pre-training on ImageNet), or the path to the weights file to be loaded.
`input_tensor`	optional Keras tensor (i.e. output of `keras_input()`) to use as image input for the model.
`input_shape`	optional shape tuple, 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.
`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 block. `avg` means that global average pooling will be applied to the output of the last convolutional block, 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. Defaults to 1000.
`classifier_activation`	A `str` 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. When loading pretrained weights, `classifier_activation` can only be `NULL` or `"softmax"`.
`name`	The name of the model (string).

Value

A Keras model instance.

Reference

Densely Connected Convolutional Networks (CVPR 2017)

Optionally loads weights pre-trained on ImageNet. Note that the data format convention used by the model is the one specified in your Keras config at ⁠~/.keras/keras.json⁠.

Note

Each Keras Application expects a specific kind of input preprocessing. For DenseNet, call application_preprocess_inputs() on your inputs before passing them to the model.