京东 11.11 红包
VGG01
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2.03 残差网络 Residual network
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AlexNet paper 02
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吴恩达CNN1.4 Padding
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AlexNet paper 05
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VGG 11
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CNN: 4.11 从2D到1D3D
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CNN: object detection (car)
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AlexNet paper 06
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AlexNet paper 03
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VGG05
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2.05 network in network and 1x1 convolution
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VGG04
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AlexNet paper 07
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CNN: 4.4 triplet loss part3
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什么是strided convolution? 跳出格怎么处理？
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data augmentation
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CNN: landmark detection
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plt.rcParams
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1.7 单层卷积网络 one layer of convolutional network
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CNN: 4.2 one shot learning part1
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2.04 Why ResNet works
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CNN掰开揉碎：conv_layer, filter, feature map
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CNN: 3.10 R-CNN region proposal part1
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2.07 Inception network
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tangent library
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VGG 10
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VGG 09
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2.06 谷歌inception网络介绍
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吴恩达CNN 1.2 Edge Detection Example 笔记
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CNN: convolutional sliding window implementation 01
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CNN: 3.6 Intersection over union
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作业解读CNN3: YOLO 数据样本特点
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CNN_Newsroom_20241029
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CNN2.1 作业解读（无答案）
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CNN: 4.2 one shot learning part2
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作业解读CNN4.2： 人脸识别
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CNN: 4.8 neural style transfer cost function part 2
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classic CNN models
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10月20日 众议长约翰逊加入 CNN 国情咨文节目
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CNN: 3.8 Anchor boxes part1