CMU 11-785 L10 CNN architecture

時間 2021-01-17

標籤 CMU 11-785 filter 深度學習數據挖掘機器學習神經網絡简体版

原文原文鏈接

Architecture A convolutional neural network comprises 「convolutional」 and 「downsampling 」 layers Convolutional layers comprise neurons that scan their input for patterns Downsampling layers perform ma

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1. CNN Architecture
2. CMU 11-785 L08 Motivation of CNN
3. CMU 11-785 L12 Back propagation through a CNN
4. CNN Architecture：從LeNet-5到CapsulesNet
5. [Network Architecture]Mask R-CNN論文解析（轉）
6. ShuﬄeNet V2: Practical Guidelines for Eﬃcient CNN Architecture Design
7. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
8. Paper Reading：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
9. L10用戶級線程
10. IntroToDataMining(CMU)
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1. CNN Architecture
2. CMU 11-785 L08 Motivation of CNN
3. CMU 11-785 L12 Back propagation through a CNN
4. CNN Architecture：從LeNet-5到CapsulesNet
5. [Network Architecture]Mask R-CNN論文解析（轉）
6. ShuﬄeNet V2: Practical Guidelines for Eﬃcient CNN Architecture Design
7. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
8. Paper Reading：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
9. L10用戶級線程
10. IntroToDataMining(CMU)

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