Vgg16 Transfer Learning. Since these models are very large and have seen a huge number of images they tend to learn very good discriminative features. By specifying the shape of top layers input tensor shape is forced to be 224 224 3 therefore you can use it only on 224x224 images.
Since the domain and task for vgg16 are similar to our domain and. The following code loads the vgg16 model. Vggmodel applicationsvgg16 weightsimagenet includetoptrue if you are only.
If you want to dig deeper into this specific model you can study this paper.
Ans 41x1 layer array with layers. This paper uses one of the pre trained models vgg 16 with deep convolutional neural network to classify images. Image by author this network was trained on the imagenet dataset containing more than 14 million high resolution images belonging to 1000 different labels. Vgg16 is extensively used.