Keras Vgg16 Transfer Learning. Optionally loads weights pre trained on imagenet. By this way we often make faster progress in training the model.
Transfer learning with keras and deep learning. Lets see its architecture. Transfer learning with keras.
The red vertical line shows the cut for feature extraction.
For vgg16 call tfkerasapplicationsvgg16preprocessinput on your inputs before passing them to the model. For example lets take an example like image classification we could use transfer learning instead of training from the scratch. 495 people learned more courses view course. Lets take the vgg16 network trained on the imagenet dataset as an example.