Hands-On Transfer Learning with Python

Pretrained models

One of the fundamental requirements for transfer learning is the presence of models that perform well on source tasks. Luckily, the deep learning world believes in sharing. Many of the state-of-the art deep learning architectures have been openly shared by their respective teams. These span across different domains, such as computer vision and NLP. We looked at some of the most well-known and well-documented architectures in Chapter 3, Understanding Deep Learning Architectures. The teams behind those networks have not just shared the results, but also their pretrained models. Pretrained models are usually shared in the form of the millions of parameters/weights the model achieved while being trained to a stable state. Pretrained ...