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About Lecture8 PDF
The document discusses regularization techniques for deep learning models. It begins with an overview of bias and variance, using an example of fitting curves to data points from a sinusoidal function. A simple linear model and a more complex 25-degree polynomial model are compared. Both models make assumptions about the relationship between variables that may not match the true relationship. The document then describes training multiple simple and complex models on different samples of the training data to analyze bias and variance.
Detailed Information
| Author: | ['ankurkothari'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 434 |
| Language: | English |
| Format: | |
| Price: | FREE |
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