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A Device learning model is often a type of mathematical model that, after "qualified" over a supplied dataset, can be utilized to create predictions or classifications on new data. Throughout training, a learning algorithm iteratively adjusts the model's inner parameters to minimise mistakes in its predictions. The blue line could http://signinfo.co.kr/bbs/board.php?bo_table=free&wr_id=150386
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