Transfer Learning with TensorFlow 2 – Model Fine Tuning

In the previous article, we had a chance to explore transfer learning with TensorFlow 2. We used several huge pre-trained models: VGG16, GoogLeNet and ResNet. These architectures are all trained on ImageNet dataset and their weights are stored. We specialized them for "Cats vs Dogs" dataset, the dataset that contains 23,262 images of cats and dogs. There are many pre-trained models available at tensorflow.keras.applications In essence, there are two ways in which you can use them.