State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

D. PaperState-of-the-Art Deep Learning Models in TensorFlowhttps://doi.org/10.1007/978-1-4842-7341-8_7

7. Advanced Transfer Learning

David Paper¹  

(1)

Logan, UT, USA

 

We introduce advanced transfer learning with code examples based on several transfer learning architectures. The code examples train learning models with these architectures.

Notebooks for chapters are located at the following URL:

https://github.com/paperd/deep-learning-models

Transfer Learning

Transfer learning is based on the idea that the feature a network learns for a problem can be reused for a variety of other tasks. In ML and pattern recognition, a feature is an individual measurable property ...