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The outcomes further more confirm that domain expertise help Enhance the product efficiency. If made use of appropriately, it also enhances the efficiency of the deep Understanding product by adding area knowledge to it when developing the product along with the enter.
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Inside our case, the FFE properly trained on J-Textual content is predicted to be able to extract very low-stage functions across unique tokamaks, for example All those connected with MHD instabilities in addition to other features which can be widespread throughout unique tokamaks. The very best levels (layers nearer to your output) of your pre-properly trained product, usually the classifier, along with the leading of the element extractor, are utilized for extracting higher-degree options certain into the source jobs. The top layers on the design are usually fine-tuned or replaced to produce them extra appropriate for the concentrate on job.
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Table two The effects in the cross-tokamak disruption prediction experiments making use of diverse strategies and designs.
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諾貝爾經濟學得主保羅·克魯曼，認為「比特幣是邪惡的」，發表了若干對於比特幣的看法。
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