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Python与机器学习算法
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Add an imageTop Tracks
| Rank | Play | Album | Loved | Track name | Buy | Options | Listeners |
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| 1 |
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【01】1 课程介绍-计算机视觉概述 |
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【02】1.1 课程介绍-历史背景 |
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| 3 |
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【03】1.2 课程介绍-课程后勤 |
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| 4 |
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【04】2 图像分类-数据驱动方法 |
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| 5 |
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【05】2.1 图像分类-K最近邻算法 |
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| 6 |
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【06】2.2 图像分类-线性分类1 |
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| 7 |
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【07】3 损失函数和优化介绍 |
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| 8 |
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【08】4 介绍神经网络-反向传播 |
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| 9 |
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【09】4.1 介绍神经网络-神经网络 |
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| 10 |
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【10】5 卷积神经网络历史 |
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