吴恩达卷积神经网络介绍.rar

[{"title":"（ 35 个子文件 17.23MB ） 吴恩达卷积神经网络介绍.rar","children":[{"title":"C4W3L10-RegionProposals.pdf <span style='color:#111;'> 423.12KB </span>","children":null,"spread":false},{"title":"C4W4L01-WhatIsFaceRecog.pdf <span style='color:#111;'> 337.50KB </span>","children":null,"spread":false},{"title":"C4W2L07-InceptionNetwork.pdf <span style='color:#111;'> 588.01KB </span>","children":null,"spread":false},{"title":"C4W1L05-StridedConv.pdf <span style='color:#111;'> 457.32KB </span>","children":null,"spread":false},{"title":"C4W4L11-1D3DGeneralizations.pdf <span style='color:#111;'> 2.00MB </span>","children":null,"spread":false},{"title":"C4W2L06-InceptionNetworkMotivation.pdf <span style='color:#111;'> 435.83KB </span>","children":null,"spread":false},{"title":"C4W4L02-OneShotLearning.pdf <span style='color:#111;'> 445.87KB </span>","children":null,"spread":false},{"title":"C4W1L11-WhyConvs.pdf <span style='color:#111;'> 459.99KB </span>","children":null,"spread":false},{"title":"C4W3L08-AnchorBoxes.pdf <span style='color:#111;'> 644.25KB </span>","children":null,"spread":false},{"title":"C4W3L07-NonmaxSuppression.pdf <span style='color:#111;'> 639.99KB </span>","children":null,"spread":false},{"title":"C4W1L10-CNNExample.pdf <span style='color:#111;'> 331.18KB </span>","children":null,"spread":false},{"title":"C4W4L06-WhatIsNeuralTransferStyle.pdf <span style='color:#111;'> 528.29KB </span>","children":null,"spread":false},{"title":"C4W2L01-WhyLookAtCaseStudies.pdf <span style='color:#111;'> 322.33KB </span>","children":null,"spread":false},{"title":"C4W4L09-ContentCostFunction.pdf <span style='color:#111;'> 441.47KB </span>","children":null,"spread":false},{"title":"C4W3L04-ConvImpSlidingWindows.pdf <span style='color:#111;'> 761.16KB </span>","children":null,"spread":false},{"title":"C4W4L10-StyleCostFunction.pdf <span style='color:#111;'> 553.82KB </span>","children":null,"spread":false},{"title":"C4W2L02-ClassicNetworks.pdf <span style='color:#111;'> 468.14KB </span>","children":null,"spread":false},{"title":"C4W4L04-TripletLoss.pdf <span style='color:#111;'> 514.20KB </span>","children":null,"spread":false},{"title":"C4W2L03-ResNets.pdf <span style='color:#111;'> 430.77KB </span>","children":null,"spread":false},{"title":"C4W4L03-SiameseNetwork.pdf <span style='color:#111;'> 421.63KB </span>","children":null,"spread":false},{"title":"C4W1L02-EdgeDetectionExample.pdf <span style='color:#111;'> 552.77KB </span>","children":null,"spread":false},{"title":"C4W1L03-MoreEdgeDetection.pdf <span style='color:#111;'> 461.89KB </span>","children":null,"spread":false},{"title":"C4W1L06-ConvolutionsOverVolumes.pdf <span style='color:#111;'> 445.08KB </span>","children":null,"spread":false},{"title":"C4W3L06-InstersecOverUnion.pdf <span style='color:#111;'> 504.27KB </span>","children":null,"spread":false},{"title":"C4W1L01 slides.pdf <span style='color:#111;'> 586.58KB </span>","children":null,"spread":false},{"title":"C4W1L08-SimpleCNNExample.pdf <span style='color:#111;'> 320.20KB </span>","children":null,"spread":false},{"title":"C4W1L04-Padding.pdf <span style='color:#111;'> 428.14KB </span>","children":null,"spread":false},{"title":"C4W3L09-YOLOAlgorithm.pdf <span style='color:#111;'> 692.83KB </span>","children":null,"spread":false},{"title":"C4W3L02-LandmarkDetection.pdf <span style='color:#111;'> 509.52KB </span>","children":null,"spread":false},{"title":"C4W3L03-ObjectDetection.pdf <span style='color:#111;'> 377.15KB </span>","children":null,"spread":false},{"title":"C4W2L05-NetworkinNetworkand1x1.pdf <span style='color:#111;'> 422.97KB </span>","children":null,"spread":false},{"title":"C4W1L09-PoolingLayers.pdf <span style='color:#111;'> 316.32KB </span>","children":null,"spread":false},{"title":"C4W3L01-ObjectLocalization.pdf <span style='color:#111;'> 546.45KB </span>","children":null,"spread":false},{"title":"C4W4L07-WhatAreDeepCNsLearning.pdf <span style='color:#111;'> 956.71KB </span>","children":null,"spread":false},{"title":"C4W4L05-FaceVerifABinaryClass.pdf <span style='color:#111;'> 469.25KB </span>","children":null,"spread":false}],"spread":true}]