© 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_6

6. Simple Transfer Learning with TensorFlow Hub

David Paper1  
(1)
Logan, UT, USA
 

Transfer learning is the process of creating new learning models by fine-tuning previously trained neural networks. Instead of training a network from scratch, we download a pre-trained open source learning model and fine-tune it for our own purpose. A pre-trained model is one that is created by someone else to solve a similar problem. We can use one of these instead of building our own model. A big advantage is that a pre-trained model has been crafted by experts, so we can ...

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