15 lines
679 B
Markdown
15 lines
679 B
Markdown
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---
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title: DataVec Normalization
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short_title: Normalization
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description: Preparing data in the right shape and range for learning.
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category: DataVec
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weight: 5
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---
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## Why normalize?
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Neural networks work best when the data they’re fed is normalized, constrained to a range between -1 and 1. There are several reasons for that. One is that nets are trained using gradient descent, and their activation functions usually having an active range somewhere between -1 and 1. Even when using an activation function that doesn’t saturate quickly, it is still good practice to constrain your values to this range to improve performance.
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## Available preprocessors
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{{autogenerated}}
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