1)用meta-learning学习深度网络的参数;迭代次数一般150-1000。
2)微调:用常规的分类学习来学习深度网络的参数;迭代次数一般10-30。
最终效果对比:
F1平均提高19%,提高明显。
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直播內容: 在人工智能技術迅速發展的當下,越來越多的領域被這項技術注入新的活力。作爲多媒體領域中不可缺少的組成部分,音樂對於人類的重要性不言而喻。值得一提的是,人工智能在音樂領域的研究早在多年前就已經開始了,並且也落地了很多成熟應用。 當前
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