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And the templates are already sitting on ad makers' shelves.
But the templates are, in a word, boring.
The templates are limited, as well, including a person, car or dinosaur.
In most network generators, the templates are constructed manually, which can be a tedious process.
The templates are estimated using a Monte Carlo version of the online Expectation Maximization (EM) algorithm.
During the sintering process, the templates are fired, which complicates their removal.
However, the templates are well filled via ALD as shown in Figure 2c.
The templates are then converted into solid microcapsules with a matrix structure by solvent evaporation.
Google says the templates are optimized for performance and responsive layouts to help developers quickly write multi-device web experiences.
The templates are designed to facilitate online ESL activities related to the four skills: reading, writing, speaking and listening.
In the recognition stage, the GMMs and the templates are used together by DTW with the proposed local distances.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com