深度学习局限-阿里云

Keras作者、谷歌研究员Chollet：深度学习的理论局限

本文来自AI新媒体量子位（QbitAI）从图像处理，到自然语言处理，再到语音识别等多个领域，深度学习都取得了很好的成绩，但是仍存在一些领域，还等待深度学习去攻坚克难。 Keras作者Francois Chollet昨天在博客上发布了一篇文章，讲述了当下深度学习理论的局限性及发展方向。这篇文章是他的...

聊聊数据挖掘竞赛中的套路与深度学习的局限

前言刚好在暑假通过参加 kaggle 的 Zillow Prize 比赛来让我在数据挖掘和机器学习中完成了菜逼到 Level 1 的转变，借知乎的平台总结一下比赛的经验，先声明本文绝不是只列出名词的文章，每一点背后都会有相应的文字解说，各位客官可以安心吃用和讨论。其次要强调的是这篇文章不承诺带你...

高校精品课-复旦大学-机器学习与深度学习

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深度学习框架TensorFlow入门

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深度学习与自动驾驶

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RSS 2016研讨会随想：质疑者是正确的吗——深度学习在机器人领域的局限和潜力都在哪里？

备注：本文于2016年6月23日发表于云栖社区（20%为翻译，80%为自己的理解），这里仅作备份用。导语：RSS（Robotics: Science and Systems，机器人：科学与系统）是机器人领域的世界顶级学术会议。 John McCormac是伦敦帝国学院戴森机器人实验室（Dyson...

RSS 2016研讨会随想：质疑者是正确的吗——深度学习在机器人领域的局限和潜力都在哪里？

导语：RSS（Robotics: Science and Systems，机器人：科学与系统）是机器人领域的世界顶级学术会议。 John McCormac是伦敦帝国学院戴森机器人实验室（Dyson Robotics Lab at Imperial）的一名博士生，师从Andy Davison教授和S...

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