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Articles related to "results"


Advanced Topics in Neural Networks

  • Clearly, it is not feasible to hook up a 150 layer deep neural network with a few dozen GPUs and train a model for several weeks to distinguish between the easiest 1000 plant species you currently have data for in order to create your startup's algorithm for its minimum viable product.
  • Reducing the number of parameters in a network becomes increasingly important as neural architectures and datasets get larger in order to obtain reasonable execution times of models.
  • As you have likely come to realize from your own adventures with neural networks, and possibly from other articles and research literature, the learning rate is a very important part of neural network training.
  • However, since we are training the network, the neural architecture is dynamic and constantly shifting, resulting in distortion of the optimal learning rate.

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Trump says Google is biased against conservatives. Here’s how search actually works.

  • For conservatives worried about biased Google searches, Cernekee’s claims validate their fear that one of the most powerful companies in the world is putting its thumb on the election scale.
  • To get you the most relevant information when you type in those words, Google uses a series of algorithms that consider factors like your word choice, site traffic, how user friendly a site is, and expertise of sources, as well as your location, settings, and your own search history.
  • Similarly, if you don’t think widely trusted news sites are accurate, you’re not going to like Google results.
  • Google is constantly upgrading its search algorithms, but before it widely deploys any changes, it explores how test groups interact with the change and also consults its thousands of “search quality raters,” who A/B test the relevance of the new and old results to see which gives the better answers.

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Advanced Topics in Neural Networks

  • Clearly, it is not feasible to hook up a 150 layer deep neural network with a few dozen GPUs and train a model for several weeks to distinguish between the easiest 1000 plant species you currently have data for in order to create your startup's algorithm for its minimum viable product.
  • Reducing the number of parameters in a network becomes increasingly important as neural architectures and datasets get larger in order to obtain reasonable execution times of models.
  • As you have likely come to realize from your own adventures with neural networks, and possibly from other articles and research literature, the learning rate is a very important part of neural network training.
  • However, since we are training the network, the neural architecture is dynamic and constantly shifting, resulting in distortion of the optimal learning rate.

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A Fox News host hit back at Trump's claims the network has 'changed' after it published a poll showing leading Democrats beating him in 2020

  • A Fox News host hit back at US President Donald Trump's suggestion that the network has "changed," after it published a poll showing the president trailing four Democratic contenders in voting intentions for the 2020 election.
  • Host Bret Baier responded to Trump on Monday, and defended the poll, which showed that four Democratic candidates would beat Trump in the 2020 election.
  • The poll, published by Fox News on Saturday, showed four Democratic candidates — Joe Biden, Elizabeth Warren, Bernie Sanders, and Kamala Harris — beating Trump in a hypothetical 2020 matchup.
  • Baier defended the results, saying that they were similar to RealClearPolitics' aggregations of polls.
  • Baier also appeared to invite Trump on to his Fox News show, "Special Report," noting that Trump had spoken on ABC and NBC shows this year already.

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Trump falsely claims Google 'manipulated' millions of 2016 votes

  • Epstein, who testified before the Senate Judiciary Committee in July, found what he alleges was a pro-Clinton bias in Google's search results.
  • There is no basis in Epstein's research for Trump's claim that the alleged bias might have affected "16 million" votes.
  • Another issue, other academics say, is that Epstein's study did not establish a link between alleged bias in search results and voter behavior in 2016.
  • In an American presidential election, people tend to know so much about the two leading candidates, and are getting news from so many different sources, that it is not at all clear that search results would affect their preferences the same way they might in other settings where they have less information, said Michael McDonald, a political science professor and elections expert at the University of Florida.

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