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InvitedTalk:对抗样本和对抗训练.flv
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2022-09-03 10:13:43 |
908.45 MB |
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InvitedTalk:深度学习的方法及硬件.flv
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2022-09-03 10:13:43 |
885.76 MB |
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Lecture1 课程介绍-历史背景.flv
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2022-09-03 10:13:43 |
213.19 MB |
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Lecture1 课程介绍-计算机视觉概述.flv
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2022-09-03 10:13:43 |
52.9 MB |
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Lecture1 课程介绍-课程后勤.flv
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2022-09-03 10:13:43 |
161.94 MB |
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Lecture10 循环神经网络1.flv
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2022-09-03 10:13:43 |
208.81 MB |
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Lecture10 循环神经网络2.flv
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2022-09-03 10:13:43 |
196.43 MB |
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Lecture10 循环神经网络3.flv
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2022-09-03 10:13:43 |
395.15 MB |
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Lecture11 图像目标检测和图像分割.flv
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2022-09-03 10:13:43 |
373.64 MB |
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Lecture11 识别和分割1.flv
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2022-09-03 10:13:43 |
112.23 MB |
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Lecture11 识别和分割2.flv
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2022-09-03 10:13:43 |
364.58 MB |
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Lecture12 可视化和理解1.flv
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2022-09-03 10:13:43 |
578.23 MB |
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Lecture12 可视化和理解2.flv
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2022-09-03 10:13:43 |
271.95 MB |
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Lecture13 生成模型1.flv
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2022-09-03 10:13:43 |
226.94 MB |
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Lecture13 生成模型2.flv
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2022-09-03 10:13:43 |
337.74 MB |
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Lecture13 生成模型3.flv
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2022-09-03 10:13:43 |
306.49 MB |
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Lecture14 深度增强学习1.flv
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2022-09-03 10:13:43 |
177.9 MB |
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Lecture14 深度增强学习2.flv
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2022-09-03 10:13:43 |
556.21 MB |
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Lecture2 图像分类-K最近邻算法.flv
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2022-09-03 10:13:43 |
167.09 MB |
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Lecture2 图像分类-数据驱动方法.flv
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2022-09-03 10:13:43 |
170.05 MB |
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Lecture2 图像分类-线性分类1.flv
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2022-09-03 10:13:43 |
100.87 MB |
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Lecture3 损失函数和优化—优化.flv
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2022-09-03 10:13:43 |
183.38 MB |
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Lecture3 损失函数和优化—损失函数.flv
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2022-09-03 10:13:43 |
356.32 MB |
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Lecture4-介绍神经网络-反向传播.flv
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2022-09-03 10:13:43 |
396.04 MB |
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Lecture4-介绍神经网络-神经网络.flv
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2022-09-03 10:13:43 |
137.39 MB |
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Lecture5 卷积神经网络-卷积和池化.flv
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2022-09-03 10:13:43 |
262.48 MB |
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Lecture5 卷积神经网络-视觉之外的卷积神经网络.flv
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2022-09-03 10:13:43 |
135.81 MB |
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Lecture5 卷积神经网络历史.flv
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2022-09-03 10:13:43 |
107.3 MB |
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Lecture6 训练神经网络(上)-批量归一化.flv
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2022-09-03 10:13:43 |
224.44 MB |
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Lecture6 训练神经网络(上)-激活函数.flv
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2022-09-03 10:13:43 |
353.38 MB |
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Lecture6 训练神经网络(下)-更好地优化.flv
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2022-09-03 10:13:43 |
401.72 MB |
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Lecture6 训练神经网络(下)-正则化.flv
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2022-09-03 10:13:43 |
112.48 MB |
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Lecture6 训练神经网络(下)-迁移学习.flv
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2022-09-03 10:13:43 |
47.35 MB |
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Lecture8 深度学习软件.flv
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2022-09-03 10:13:43 |
559.1 MB |
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Lecture9 CNN框架.flv
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2022-09-03 10:13:43 |
552.79 MB |
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