Inception v3 model

Architecture from Rethinking the Inception Architecture for Computer Vision The required minimum input size of the model is 75x75.

model_inception_v3(pretrained = FALSE, progress = TRUE, ...)

Arguments

pretrained

(bool): If TRUE, returns a model pre-trained on ImageNet

progress

(bool): If TRUE, displays a progress bar of the download to stderr

...

Used to pass keyword arguments to the Inception module:

• aux_logits (bool): If TRUE, add an auxiliary branch that can improve training. Default: TRUE

• transform_input (bool): If TRUE, preprocess the input according to the method with which it was trained on ImageNet. Default: FALSE

Note

Important: In contrast to the other models the inception_v3 expects tensors with a size of N x 3 x 299 x 299, so ensure your images are sized accordingly.

See also

Other models: model_alexnet(), model_mobilenet_v2(), model_resnet, model_vgg