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ConvNet Max pooling 螻 Full Network
 Pooling Layer (Sampling)
  伎伎 觸 襷 螻  蟆 襷
 Max Pooling: 2x2  螳  螳 觸 れ伎襷
 一危 蠍磯 filter 蠍一 stride 蠍一 磯 覲蟆暑
 Fully Connected Layer (FC Layer)
 Contains neurons that connect to the entire input volume,
as in ordinary NN
Fully Connected Network
ConvNet  覈
 LeNet-5 (1998)
 Noise 麹 螳
ConvNet  覈
 AlexNet (2012): Error rate 18.2%  Ensemble 15.4%
 GoogLeNet (2015): Error rate 6.7%
 ResNet (2015): Error rate 3.6%
 譴螳 蟇企磯 Fast Forward 
 るジ れ 2 10-20% 蟆谿
 AlphaGo (2016)

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2019 lightning-talk12

  • 1. ConvNet Max pooling 螻 Full Network Pooling Layer (Sampling) 伎伎 觸 襷 螻 蟆 襷 Max Pooling: 2x2 螳 螳 觸 れ伎襷 一危 蠍磯 filter 蠍一 stride 蠍一 磯 覲蟆暑 Fully Connected Layer (FC Layer) Contains neurons that connect to the entire input volume, as in ordinary NN
  • 3. ConvNet 覈 LeNet-5 (1998) Noise 麹 螳
  • 4. ConvNet 覈 AlexNet (2012): Error rate 18.2% Ensemble 15.4% GoogLeNet (2015): Error rate 6.7% ResNet (2015): Error rate 3.6% 譴螳 蟇企磯 Fast Forward るジ れ 2 10-20% 蟆谿 AlphaGo (2016)