Keras Vgg16 Transfer Learning Example. Loading weights from available pre trained models included with keras library. This notebook has been released under the apache 20 open source license.
For example you have a problem to classify images so for this instead of creating your new model from scratch you can use a pre trained model that was trained on the huge number of datasets. The red vertical line shows the cut for feature extraction. Our model didnt perform that well but we can make significant improvements in accuracy without much more training time by using a concept called transfer learning.
Basically you can transfer the weights of the previous.
The video tutorial for transfer learning with resnet 50. Record the outputs to a numpy array csv file or something else. Example of loading the vgg16 model from kerasapplicationsvgg16 import vgg16 load model model vgg16 summarize the model modelsummary running the example will load the vgg16 model and download the model weights if required. We need to create two directories namely train and validation so that we can use the keras functions for loading images in batches.