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In many tensorflow tutorials (example) "towers" are mentioned without a definition. What is meant by that?

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According to tensorflow documentation about CNN,

The first abstraction we require is a function for computing inference and gradients for a single model replica. In the code we term this abstraction a "tower".

To get the relevant context and more, check this.

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