Hands-On Transfer Learning with Python

Dog classifier using transfer learning

Now that our datasets are ready, let's get started with the modeling process. We already know how to build a deep convolutional network from scratch. We also understand the amount of fine-tuning required to achieve good performance. For this task, we will be utilizing the concepts of transfer learning.

A pretrained model is the basic ingredient required to begin with the task of transfer learning. As discussed in earlier chapters, transfer learning can be leveraged by either fine-tuning weights of a pretrained network on a current task, or utilizing the pretrained model as a feature extractor.

In this use case, we will concentrate on utilizing a pretrained model as a feature extractor. As we know, a ...