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全文链接：http://tecdat.cn/?p=30793 您想构建一个没有太多训练数据的机器学习模型吗？众所周知，机器学习需要大量数据，而收集和注释数据需要时间且成本高昂（点击文末“阅读原文”获取完整代码数据）。本文介绍了一些在没有太多数据或标记数据的情况下进行图像分类的方法。我将介绍迁移学习...

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引出主题近年来，深度学习之所以取得如此大的成功，主要在于目前拥有的海量数据和强大计算资源，尤其是在图像识别方面。因此，如何实现深度学习的快速学习，是深度学习研究的一大难题。对于人而言，在识别物体的时候，仅需要少量图像或不需要图像，而根据对物体的描述就能基于以往的经验知识实现对物体的识别，这是为什...

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