August 2018
Intermediate to advanced
438 pages
12h 3m
English
Content preview from Hands-On Transfer Learning with Python
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Overfitting
The other extreme of the training phase is termed as overfitting. The overfitting graph can be represented as follows:
Overfit model
This shows a target function that perfectly maps each data point in our training dataset. This is better known as model overfitting. In such cases, the algorithm tries to learn the exact data characteristics, including the noise, and thus fails to predict reliably on new unseen data points.
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