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application_inception_resnet_v2.qmd
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application_inception_resnet_v2.qmd
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---
execute:
freeze: true
---
[R/applications.R](https://github.com/rstudio/keras//blob/main/R/applications.R#L346)
# application_inception_resnet_v2
## Inception-ResNet v2 model, with weights trained on ImageNet
## Description
Inception-ResNet v2 model, with weights trained on ImageNet
## Usage
```r
application_inception_resnet_v2(
include_top = TRUE,
weights = "imagenet",
input_tensor = NULL,
input_shape = NULL,
pooling = NULL,
classes = 1000,
classifier_activation = "softmax",
...
)
inception_resnet_v2_preprocess_input(x)
```
## Arguments
|Arguments|Description|
|---|---|
| include_top | Whether to include the fully-connected layer at the top of the network. Defaults to `TRUE`. |
| weights | One of `NULL` (random initialization), `'imagenet'` (pre-training on ImageNet), or the path to the weights file to be loaded. Defaults to `'imagenet'`. |
| input_tensor | Optional Keras tensor (i.e. output of `layer_input()`) 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 71. E.g. `(150, 150, 3)` would be one valid value. |
| pooling | Optional pooling mode for feature extraction when `include_top` is `FALSE`. Defaults to `NULL`. <br>- `NULL` means that the output of the model will be the 4D tensor output of the last convolutional layer. <br>- `'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. <br>- `'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 (number of ImageNet classes). |
| 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 | `preprocess_input()` takes an array or floating point tensor, 3D or 4D with 3 color channels, with values in the range `[0, 255]`. |
## 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.
## Section
## Reference
- [Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning](https://arxiv.org/abs/1602.07261)(https://arxiv.org/abs/1512.00567)
## Value
A Keras model instance.