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For the last step, we fed the result of the pooling to a logistic regression layer to find the target class label associated with the current input sequence.
Markets have been known to react very quickly (and badly) to thoughtless remarks by Chairs of the Fed, the result being billions of dollars of wealth vanishing in a matter of hours, and Larry Summers has a history of saying and writing thoughtless things.
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She then fed the results as market intelligence input into a senior leadership competitive game.
And they fed the resulting data into machine-learning algorithms developed at MIT and a company called Cognizant.
They fed the results of this first simulation back into their algorithm to identify the next best wave to simulate, and repeated the entire process.
He tracked every aspect of his life what he ate and drank, how long he slept and fed the results into software that determined which behaviors were bad for him.
We fed the results into a graph package and the different personalities revealed were surprisingly diverse.
They then fed the results from that model into a different model that estimates economic damages based on future greenhouse gas emissions.
They used electricity to split water and fed the resulting hydrogen gas to a bacterium called Ralstonia eutropha, which uses the hydrogen and carbon dioxide to generate biomass.
We use image processing to pre-process images and feed the result to a machine learning method to construct classification models for automatic annotation.
A scanner will then read the matched patterns and feed the results to a computer.
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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