Getting started with transfer learning
Transfer learning has many interesting applications, with one of the most fascinating being converting an image into the style of a famous painter, such as Van Gogh or Picasso.
Figure 3.1 – Image credit: A neural algorithm of artistic style (https://arxiv.org/pdf/1508.06576v2.pdf)
The preceding example is also known as Style Transfer. There are many specialized algorithms for accomplishing this task, and VGG-16, ResNet, and AlexNet are some of the more popular architectures.
In this chapter, we will start with the creation of a simple image classification model using ResNet-50 architecture on the PCam dataset, which contains image scans of cancer tissues. Later, we will build a text classification model that uses Bi-directional Encoder Representations from Transformers (BERT).
In both examples in this chapter, we will make use of a pre-trained model and its weights and fine-tune the model to make it work...
