August 2018
Intermediate to advanced
438 pages
12h 3m
English
Content preview from Hands-On Transfer Learning with Python
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Underfitting
Based on our algorithm, there could be different outputs of the training phase. Let's assume that the learned target function is as shown in the following diagram:
Underfit model
This lazy function always predicts a constant output value. Since the target function is not able to learn the underlying structure of the data, it results in what is termed as underfitting. An underfit model has a poor predictive performance.
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