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  1. Neural networks made easy (Part 54): Using random encoder for efficient research (RE3)

    by , 12-17-2023 at 06:51 AM
    The issue of efficient exploration of the environment is one of the main problems of reinforcement learning methods. We have discussed this issue more than once. Each time, a proposed solution led to additional complication of the algorithm. In most cases, we resorted to using additional internal reward mechanisms to encourage the model to explore new actions and search for unexplored paths.
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  2. Evaluating ONNX models using regression metrics

    by , 12-17-2023 at 05:49 AM
    Regression is a task of predicting a real value from an unlabeled example. A well-known example of regression is estimating the value of a diamond based on such characteristics as size, weight, color, clarity, etc.

    The so-called regression metrics are used to assess the accuracy of regression model predictions. Despite similar algorithms, regression metrics are semantically different from similar loss functions.

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  3. Michael Jackson’s Unreleased Studio Tapes Yanked From Auction Site Amid Lawsuit Threat

    by , 12-16-2023 at 07:07 AM


    More than two dozen analog master tapes capturing Michael Jackson singing songs at The Hit Factory recording studio in New York in 1994 have been scrubbed from an auction site after a lawyer representing the singer’s estate threatened a lawsuit this week, Rolling Stone confirmed.

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  4. Taylor Swift Defends Fan From Security Guard at Philadelphia Show

    by , 12-15-2023 at 02:19 PM


    Taylor Swift reprimanded a security guard mid-performance in order to protect a fan Saturday during The Eras Tour’s second concert in Philadelphia.

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  5. Taylor Swift Gives Over $55 Million in Bonuses to Everyone on Colossal Eras Tour

    by , 12-14-2023 at 02:18 PM


    Taylor Swift’s Era’s Tour has become one of the biggest live spectacles of the year, lauded for her historical performances, gorgeous set designs, dazzling costumes, cutting-edge lighting effects, and more. The ability to pull off a show of that scale, night after night, takes a phenomenal team ...
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