Dropout: 5.1 backpropagation
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Dropout: motivation 2
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Dropout: 5.2 pretraining
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Dropout: abstract
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Dropout: related works
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Dropout: Motivation 01
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Dropout: Introduction
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Dropout: 如何理解weights * (1- dropout_rate)
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Dropout: 4 model description
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ResNet: abstract and introduction
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ResNet related works
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Batch_Normalization: Abstract
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resnet 3.4 implementation
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Stories of infection
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Inception: related works
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Batch_Normalization: Introduction
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Inception: architecture details
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AlignedReID：Abstract and Introduction part 1
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YOLO：conclusion
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Batch_Normalization: Normalization vs mini-batch statistics full
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AlignedReID：triHard, triplet loss, 为什么在预测时只用global features
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Batch_Normalization: Convolutional Network
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(中文) 论文分解器：Hinton's capsule 2 paragraph1-4
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AlignedReID：如何理解mutual learning
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论文分解器：hinton's capsule 01 中文
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(中文) 论文分解器：Hinton's capsule section4-4.1 上下
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YOLO：3.5 YOLO vs MultiGrasp
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YOLO：Unified Detection part2
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YOLO：abstract
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BioBits® Protein structure and function
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论文分解器：Generalization in deep learning (合集）
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(中文) 论文分解器：Hinton's capsule section 3 loss
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Batch_Normalization: Learning rate 更大也没关系
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论文分解器：medium's capsule 1.2
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Batch_Normalization: Toward Reducing Internal Covariance Shift
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Inception: Abstract and Introduction
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OverFeat: Abstract
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AlignedReID：总结
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EN 论文分解器：Hinton's capsule section 3 margin loss
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YOLO：2.3-2.4 inference and limitation
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哈佛通识概率普及课（特别推荐）Fat Chance: Probability from the Ground Up by Harvard and Edx