Data Science Practices
Aatif Jamshed, Asmita Dixit, Amit Sinha, Kanika Gupta, Manish Kumar · 2021
As the field of transfer learning is deeply contributing in every area of research development, one of the field being image prediction needs improvement. This chapter will present the concept of trained models and then will move on to demonstrate how to use trained models for various applications. Feature extraction can be applied to pre-trained models, and fine-tuning can be applied to pre-trained models for classification of animals into cat and dog groups. This chapter will cover the important aspects of the transfer learning and its applications with improved precision and reduced training times using some trained models like VGG16 and ResNet50.