[FreeCoursesOnline.Me] Coursera - convolutional-neural-networks

Creation Time	Aug. 29, 2023, 2:33 p.m.
Last Access Time	July 23, 2024, 3:20 p.m.
File Size	1.0 GB
Keywords	FreeCoursesOnline Me - Coursera convolutional-neural-networks
Total Requests	23
Total Files	660
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition_C4W4L01_WhatIsFaceRecog.pptx 137.7 MB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.mp4 75.5 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss_C4W4L04_TripletLoss.pptx 59.5 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer_C4W4L06_WhatIsNeuralTransferStyle.pptx 38.1 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function_C4W4L08_CostFunction.pptx 34.2 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning_C4W4L02_OneShotLearning.pptx 32.2 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification_C4W4L05_FaceVerifABinaryClass.pptx 29.2 MB
03_object-detection/01_detection-algorithms/03_object-detection_C4W3L03_ObjectDetection.pptx 23.8 MB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.mp4 22.8 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning_C4W4L07_WhatAreDeepCNsLearning.pptx 21.2 MB
03_object-detection/01_detection-algorithms/02_landmark-detection_C4W3L02_LandmarkDetection.pptx 20.2 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.mp4 20.1 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.mp4 19.7 MB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.mp4 19.6 MB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows_C4W3L04_ConvImpSlidingWindows.pptx 17.6 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.mp4 16.4 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.mp4 15.9 MB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.mp4 15.5 MB
03_object-detection/01_detection-algorithms/01_object-localization.mp4 15.4 MB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.mp4 14.4 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.mp4 13.9 MB
03_object-detection/01_detection-algorithms/08_anchor-boxes.mp4 13.5 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.mp4 12.9 MB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.mp4 12.7 MB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.mp4 12.4 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.mp4 12.3 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.mp4 12.1 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.mp4 11.9 MB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.mp4 11.9 MB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.mp4 11.6 MB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.mp4 11.4 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.mp4 11.3 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.mp4 11.3 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.mp4 11.0 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.mp4 10.4 MB
03_object-detection/01_detection-algorithms/07_non-max-suppression.mp4 10.1 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.mp4 9.8 MB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.mp4 9.1 MB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.mp4 9.0 MB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.mp4 8.8 MB
03_object-detection/01_detection-algorithms/01_object-localization_C4W3L01_ObjectLocalization.pptx 8.6 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network_C4W4L03_SiameseNetwork.pptx 8.6 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.mp4 8.4 MB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.mp4 8.2 MB
03_object-detection/01_detection-algorithms/02_landmark-detection.mp4 8.2 MB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.mp4 8.1 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.mp4 7.9 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.mp4 7.6 MB
03_object-detection/01_detection-algorithms/03_object-detection.mp4 7.3 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example_C4W1L02_EdgeDetectionExample.pptx 6.6 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.mp4 6.1 MB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.mp4 5.9 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision_C4W1L01_ComputerVision.pptx 5.8 MB
03_object-detection/01_detection-algorithms/08_anchor-boxes_C4W3L08_AnchorBoxes.pptx 5.8 MB
03_object-detection/01_detection-algorithms/06_intersection-over-union.mp4 5.5 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.mp4 5.2 MB
03_object-detection/01_detection-algorithms/09_yolo-algorithm_C4W3L09_YOLOAlgorithm.pptx 5.0 MB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.mp4 4.7 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.mp4 4.7 MB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions_C4W1L11_WhyConvs.pptx 4.5 MB
03_object-detection/01_detection-algorithms/06_intersection-over-union_C4W3L06_InstersecOverUnion.pptx 4.3 MB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network_C4W2L07_InceptionNetwork.pptx 4.0 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.mp4 3.0 MB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations_C4W4L11_1D3DGeneralizations.pptx 3.0 MB
03_object-detection/01_detection-algorithms/07_non-max-suppression_C4W3L07_NonmaxSuppression.pptx 1.9 MB
03_object-detection/01_detection-algorithms/10_optional-region-proposals_C4W3L10_RegionProposals.pptx 825.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function_C4W4L10_StyleCostFunction.pptx 624.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks_C4W2L02_ClassicNetworks.pptx 336.1 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation_C4W2L06_InceptionNetworkMotivation.pptx 229.8 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume_C4W1L06_ConvolutionsOverVolumes.pptx 223.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions_C4W2L05_NetworkinNetworkand1x1.pptx 218.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions_C4W1L05_StridedConv.pptx 201.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding_C4W1L04_Padding.pptx 199.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection_C4W1L03_MoreEdgeDetection.pptx 189.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets_C4W2L03_ResNets.pptx 185.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example_C4W1L10_CNNExample.pptx 179.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function_C4W4L09_ContentCostFunction.pptx 177.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example_C4W1L08_SimpleCNNExample.pptx 174.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers_C4W1L09_PoolingLayers.pptx 156.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies_C4W2L01_WhyLookAtCaseStudies.pptx 90.6 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.en.srt 40.9 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.tr.srt 40.4 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.zh-CN.srt 37.2 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.zh-TW.srt 36.2 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.tr.srt 31.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.ko.srt 27.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.ja.srt 25.9 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.en.txt 25.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.tr.srt 24.9 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.tr.txt 24.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.en.srt 24.5 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.ko.srt 23.6 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.tr.txt 23.3 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.tr.srt 22.1 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.ko.srt 22.0 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.ja.srt 21.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.en.srt 21.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.ko.srt 21.5 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.zh-CN.txt 21.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.zh-TW.srt 21.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.zh-CN.srt 20.6 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.ko.srt 20.6 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.ja.srt 20.4 KB
01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.zh-TW.txt 20.4 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.en.srt 20.0 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.zh-CN.srt 19.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.ja.srt 19.6 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.zh-TW.srt 19.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.ja.srt 19.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.ko.srt 19.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.tr.srt 18.8 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.en.srt 18.6 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.zh-CN.srt 18.2 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.en.srt 17.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.ko.txt 17.7 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.zh-TW.srt 17.6 KB
03_object-detection/01_detection-algorithms/01_object-localization.ko.srt 17.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.ko.srt 17.5 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.tr.srt 17.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.tr.srt 16.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.ja.srt 16.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.en.srt 16.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.zh-TW.srt 16.6 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.zh-CN.srt 16.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.ja.srt 16.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.zh-CN.srt 16.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.ja.txt 16.2 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.ko.srt 16.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.ko.srt 15.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.zh-TW.srt 15.8 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.ko.srt 15.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.en.srt 15.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.tr.srt 15.3 KB
03_object-detection/01_detection-algorithms/01_object-localization.ja.srt 15.3 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.tr.txt 15.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.ko.txt 15.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.ja.srt 14.9 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.ko.srt 14.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.zh-CN.srt 14.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.en.txt 14.8 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.zh-TW.srt 14.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.ko.srt 14.7 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.ja.srt 14.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.tr.srt 14.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.ja.srt 14.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.tr.srt 14.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.ko.txt 14.5 KB
03_object-detection/01_detection-algorithms/01_object-localization.en.srt 14.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.en.srt 14.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.ko.srt 14.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.en.srt 14.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.ko.srt 14.4 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.en.srt 14.1 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.tr.txt 14.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.ja.srt 14.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ko.srt 14.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.ja.srt 13.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.zh-TW.srt 13.8 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.ja.srt 13.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.ko.txt 13.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.en.srt 13.6 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.ko.txt 13.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.tr.srt 13.5 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.tr.txt 13.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.zh-CN.srt 13.4 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.ko.srt 13.3 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.ja.srt 13.3 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.ja.txt 13.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.ko.srt 13.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.tr.srt 13.2 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.zh-CN.srt 13.2 KB
03_object-detection/01_detection-algorithms/01_object-localization.zh-CN.srt 13.2 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.tr.srt 13.2 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.ko.srt 13.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.tr.srt 13.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.en.srt 13.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.zh-CN.srt 13.0 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.en.srt 13.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ja.srt 12.9 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.ja.srt 12.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.en.txt 12.9 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.ja.txt 12.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.ko.srt 12.9 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.ko.srt 12.9 KB
03_object-detection/01_detection-algorithms/01_object-localization.zh-TW.srt 12.8 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.en.srt 12.8 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.ko.srt 12.7 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.tr.srt 12.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.zh-TW.srt 12.7 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.tr.srt 12.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.zh-CN.srt 12.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.zh-CN.srt 12.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.ja.srt 12.5 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.zh-TW.srt 12.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.ko.txt 12.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.en.srt 12.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.zh-TW.srt 12.3 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.ko.srt 12.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.tr.srt 12.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.zh-CN.srt 12.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.ja.txt 12.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.zh-TW.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.af.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.de.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.en.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.et.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ka.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.kk.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.lt.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.mn.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ne.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ro.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sk.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sq.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sr.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sv.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ta.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.te.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.th.srt 12.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.tr.txt 12.1 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.ja.txt 12.0 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.ja.srt 11.9 KB
03_object-detection/01_detection-algorithms/01_object-localization.ko.txt 11.9 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.en.srt 11.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.tr.srt 11.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.ko.txt 11.6 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.en.txt 11.6 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.ja.srt 11.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.en.txt 11.6 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.ja.srt 11.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.zh-CN.srt 11.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.zh-TW.txt 11.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.ja.srt 11.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.zh-TW.srt 11.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.ko.srt 11.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.en.srt 11.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.en.srt 11.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.zh-TW.srt 11.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.ko.srt 11.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.en.srt 11.3 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.zh-TW.srt 11.3 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.ko.srt 11.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.zh-CN.txt 11.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.tr.srt 11.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.ja.srt 11.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.ja.srt 11.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.en.txt 11.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.zh-CN.srt 11.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.ko.srt 11.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.en.srt 10.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.en.srt 10.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.zh-TW.txt 10.9 KB
02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.zh-CN.txt 10.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.zh-CN.srt 10.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.en.srt 10.8 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.zh-TW.srt 10.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.tr.srt 10.7 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.tr.srt 10.7 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.zh-CN.srt 10.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.ja.txt 10.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.ko.srt 10.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.zh-TW.srt 10.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.ko.srt 10.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.en.srt 10.6 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.zh-TW.srt 10.6 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.ko.txt 10.6 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.ja.srt 10.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.ja.srt 10.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.tr.srt 10.5 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.ja.srt 10.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.zh-CN.srt 10.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.ko.txt 10.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.tr.txt 10.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.ja.txt 10.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.zh-CN.srt 10.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.zh-CN.srt 10.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.ja.srt 10.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.en.txt 10.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.zh-TW.srt 10.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.zh-TW.srt 10.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.zh-TW.srt 10.0 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.zh-TW.srt 10.0 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.en.srt 10.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.ko.txt 9.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.ja.srt 9.9 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.zh-CN.txt 9.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.zh-CN.srt 9.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.zh-CN.txt 9.8 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.en.srt 9.8 KB
03_object-detection/01_detection-algorithms/01_object-localization.ja.txt 9.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.zh-TW.txt 9.6 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.ko.txt 9.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.zh-CN.srt 9.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.en.txt 9.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.zh-CN.srt 9.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.en.srt 9.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.tr.txt 9.5 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.en.srt 9.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.tr.srt 9.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.zh-TW.srt 9.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.ko.srt 9.4 KB
03_object-detection/01_detection-algorithms/03_object-detection.ko.srt 9.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.ko.txt 9.3 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.ja.txt 9.3 KB
03_object-detection/01_detection-algorithms/05_bounding-box-predictions.zh-TW.txt 9.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.zh-CN.txt 9.2 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ko.txt 9.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.ko.txt 9.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.zh-CN.srt 9.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.zh-TW.srt 9.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.ja.txt 9.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.tr.txt 9.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.ja.txt 9.1 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.ko.txt 9.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.ko.txt 9.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.zh-TW.srt 9.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.zh-TW.txt 9.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.zh-CN.srt 9.0 KB
03_object-detection/01_detection-algorithms/01_object-localization.en.txt 9.0 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.ko.srt 9.0 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.ja.srt 8.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.ja.txt 8.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.ko.txt 8.9 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.zh-CN.srt 8.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.en.srt 8.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.zh-TW.srt 8.9 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.zh-CN.srt 8.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.en.txt 8.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.ja.txt 8.7 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.ko.txt 8.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.tr.txt 8.7 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.zh-TW.srt 8.7 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.zh-CN.srt 8.6 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.en.txt 8.6 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.ko.srt 8.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.en.txt 8.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.ko.txt 8.5 KB
03_object-detection/01_detection-algorithms/03_object-detection.ja.srt 8.5 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.zh-TW.srt 8.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.en.srt 8.5 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.ja.txt 8.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.zh-TW.srt 8.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.tr.txt 8.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.ja.txt 8.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.ko.txt 8.3 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.tr.srt 8.3 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.ja.srt 8.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.zh-CN.txt 8.2 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.ko.txt 8.2 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ja.txt 8.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.tr.txt 8.2 KB
03_object-detection/01_detection-algorithms/03_object-detection.tr.srt 8.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.zh-TW.txt 8.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.ko.txt 8.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.tr.txt 8.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.zh-CN.srt 8.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.en.txt 8.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.zh-TW.txt 8.0 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.tr.srt 8.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.en.txt 8.0 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.ja.txt 8.0 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.tr.txt 8.0 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.tr.txt 7.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.zh-TW.srt 7.8 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.en.srt 7.8 KB
03_object-detection/01_detection-algorithms/03_object-detection.en.srt 7.8 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.zh-CN.txt 7.8 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.ja.srt 7.8 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.tr.txt 7.8 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.tr.txt 7.7 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.ja.srt 7.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.en.txt 7.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.tr.txt 7.7 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.en.srt 7.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.ko.txt 7.7 KB
03_object-detection/01_detection-algorithms/01_object-localization.zh-CN.txt 7.7 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.ko.srt 7.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.zh-CN.srt 7.7 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.ja.txt 7.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.ja.txt 7.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.zh-CN.txt 7.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.zh-TW.srt 7.5 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.ko.srt 7.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.ja.txt 7.5 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.en.txt 7.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.en.txt 7.4 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.ko.srt 7.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.ja.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.af.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.de.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.en.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.et.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ka.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.kk.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.lt.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.mn.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ne.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ro.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sk.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sq.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sr.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.sv.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.ta.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.te.txt 7.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.th.txt 7.3 KB
03_object-detection/01_detection-algorithms/01_object-localization.zh-TW.txt 7.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.en.txt 7.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.ja.txt 7.3 KB
03_object-detection/01_detection-algorithms/03_object-detection.zh-CN.srt 7.3 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.ko.txt 7.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.zh-CN.txt 7.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.ko.txt 7.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.zh-CN.txt 7.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.ko.txt 7.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.zh-CN.srt 7.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.zh-CN.txt 7.1 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.zh-CN.srt 7.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.en.txt 7.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.ko.txt 7.1 KB
03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.zh-TW.txt 7.1 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.tr.srt 7.1 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.en.txt 7.1 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.tr.txt 7.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.tr.txt 7.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.en.txt 7.0 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.ja.txt 7.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.tr.txt 7.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.zh-TW.txt 6.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.ja.txt 6.9 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.en.txt 6.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.zh-TW.srt 6.9 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.zh-TW.txt 6.9 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.zh-CN.txt 6.8 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.ja.txt 6.8 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.ko.srt 6.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.ko.txt 6.8 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.en.txt 6.8 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.en.txt 6.8 KB
03_object-detection/01_detection-algorithms/03_object-detection.zh-TW.srt 6.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.en.srt 6.8 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.zh-TW.srt 6.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.ja.srt 6.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.ja.srt 6.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.ja.txt 6.7 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.tr.srt 6.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.tr.txt 6.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.tr.srt 6.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.en.txt 6.6 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.ja.txt 6.6 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.en.srt 6.6 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.en.srt 6.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.zh-TW.txt 6.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ko.srt 6.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.zh-CN.txt 6.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.zh-CN.txt 6.4 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.ja.srt 6.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.ja.txt 6.4 KB
03_object-detection/01_detection-algorithms/03_object-detection.ko.txt 6.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.ja.txt 6.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.zh-TW.txt 6.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.zh-TW.txt 6.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.zh-CN.txt 6.1 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.zh-CN.srt 6.1 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.zh-TW.srt 6.1 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.zh-CN.txt 6.1 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.zh-CN.txt 6.0 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.ko.txt 6.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.zh-TW.txt 6.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.zh-TW.txt 6.0 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.en.txt 6.0 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.ko.txt 6.0 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.en.srt 6.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.en.txt 6.0 KB
03_object-detection/01_detection-algorithms/08_anchor-boxes.zh-TW.txt 5.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.zh-CN.srt 5.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.zh-TW.srt 5.9 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.zh-CN.srt 5.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.ko.srt 5.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.zh-CN.txt 5.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.zh-TW.srt 5.8 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.en.txt 5.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.zh-TW.txt 5.8 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.zh-TW.txt 5.8 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.zh-TW.txt 5.7 KB
03_object-detection/01_detection-algorithms/07_non-max-suppression.zh-CN.txt 5.7 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.zh-TW.txt 5.7 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.tr.srt 5.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.en.txt 5.7 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.tr.txt 5.6 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ja.srt 5.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.zh-TW.txt 5.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.ja.srt 5.6 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.zh-CN.txt 5.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.ja.txt 5.6 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.ko.txt 5.6 KB
03_object-detection/01_detection-algorithms/03_object-detection.ja.txt 5.6 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sr.srt 5.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.ko.srt 5.6 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.mn.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sv.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.af.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ro.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.de.srt 5.5 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.zh-CN.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.en.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.et.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ka.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.kk.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.lt.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ne.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sk.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sq.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ta.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.te.srt 5.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.th.srt 5.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.ko.srt 5.5 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.zh-CN.txt 5.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.en.txt 5.4 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.zh-TW.srt 5.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.zh-CN.txt 5.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.ja.srt 5.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.zh-CN.txt 5.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.tr.srt 5.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.zh-TW.txt 5.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.ja.txt 5.3 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.ja.txt 5.3 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.zh-TW.txt 5.3 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.zh-CN.txt 5.3 KB
03_object-detection/01_detection-algorithms/03_object-detection.tr.txt 5.2 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.ko.txt 5.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.tr.srt 5.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.tr.srt 5.2 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.zh-CN.txt 5.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.en.srt 5.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.kk.srt 5.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.sk.srt 5.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.sq.srt 5.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.sr.srt 5.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.en.txt 5.1 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.ko.txt 5.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.ja.srt 5.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.zh-TW.txt 5.0 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.zh-TW.txt 5.0 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.zh-CN.txt 5.0 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.tr.txt 5.0 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.zh-CN.srt 5.0 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.ko.txt 4.9 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.tr.txt 4.9 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.zh-TW.srt 4.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.zh-CN.srt 4.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.en.srt 4.9 KB
03_object-detection/01_detection-algorithms/10_optional-region-proposals.zh-TW.txt 4.8 KB
03_object-detection/01_detection-algorithms/03_object-detection.en.txt 4.8 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.en.txt 4.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.en.srt 4.8 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.ja.txt 4.7 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.zh-TW.txt 4.7 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.zh-TW.srt 4.7 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.en.txt 4.7 KB
03_object-detection/01_detection-algorithms/09_yolo-algorithm.zh-CN.txt 4.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.tr.txt 4.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.ko.txt 4.6 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.zh-CN.txt 4.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.zh-TW.txt 4.6 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.zh-CN.srt 4.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.zh-TW.srt 4.5 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.en.txt 4.4 KB
01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.zh-TW.txt 4.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.zh-CN.srt 4.4 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.zh-TW.srt 4.3 KB
03_object-detection/01_detection-algorithms/03_object-detection.zh-CN.txt 4.3 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.tr.txt 4.3 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.zh-CN.txt 4.3 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ko.txt 4.3 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.ja.txt 4.3 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.ja.txt 4.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.tr.txt 4.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.ja.txt 4.2 KB
02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.zh-TW.txt 4.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.zh-CN.txt 4.1 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.zh-CN.txt 4.1 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.en.txt 4.1 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.en.txt 4.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.ko.txt 3.9 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.zh-TW.txt 3.9 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.ja.txt 3.9 KB
03_object-detection/01_detection-algorithms/03_object-detection.zh-TW.txt 3.8 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.ko.txt 3.8 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.en.txt 3.8 KB
03_object-detection/01_detection-algorithms/02_landmark-detection.zh-TW.txt 3.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.zh-CN.txt 3.7 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.zh-TW.txt 3.6 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.ko.txt 3.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.tr.txt 3.5 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ja.txt 3.5 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.zh-TW.txt 3.5 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.zh-CN.txt 3.5 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.tr.txt 3.4 KB
02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.zh-TW.txt 3.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.ja.txt 3.4 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.zh-CN.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sr.txt 3.4 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.tr.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.mn.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sv.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.af.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ro.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.de.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.en.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.et.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ka.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.kk.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.lt.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ne.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sk.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.sq.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.ta.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.te.txt 3.4 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.th.txt 3.4 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.zh-CN.txt 3.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.ko.srt 3.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.tr.txt 3.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.en.txt 3.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.kk.txt 3.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.sk.txt 3.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.sq.txt 3.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.sr.txt 3.2 KB
04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.zh-TW.txt 3.2 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.ja.txt 3.1 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.en.txt 3.1 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.tr.srt 3.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.ja.srt 3.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.zh-CN.txt 2.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.en.txt 2.9 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.zh-CN.txt 2.8 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.en.srt 2.8 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.zh-TW.txt 2.7 KB
03_object-detection/01_detection-algorithms/06_intersection-over-union.zh-TW.txt 2.7 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.zh-CN.srt 2.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.zh-CN.txt 2.6 KB
02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.zh-TW.txt 2.6 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.zh-CN.txt 2.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.zh-TW.txt 2.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.zh-TW.srt 2.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.ko.txt 2.3 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.tr.txt 2.0 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.ja.txt 1.9 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.en.txt 1.7 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.zh-CN.txt 1.6 KB
05_Resources/01_course-acknowledgments/01__resources.html 1.5 KB
04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.zh-TW.txt 1.4 KB
[FTU Forum].url 1.3 KB
04_special-applications-face-recognition-neural-style-transfer/03_programming-assignments/01_art-generation-with-neural-style-transfer_instructions.html 1.0 KB
01_foundations-of-convolutional-neural-networks/02_programming-assignments/01_convolutional-model-step-by-step_instructions.html 1.0 KB
01_foundations-of-convolutional-neural-networks/02_programming-assignments/02_convolutional-model-application_instructions.html 1.0 KB
04_special-applications-face-recognition-neural-style-transfer/03_programming-assignments/02_face-recognition-for-the-happy-house_instructions.html 1.0 KB
03_object-detection/02_programming-assignments/01_car-detection-with-yolov2_instructions.html 1.0 KB
02_deep-convolutional-models-case-studies/03_programming-assignments/01_residual-networks_instructions.html 1.0 KB
[FreeCoursesOnline.Me].url 133 bytes
[FreeTutorials.Eu].url 129 bytes

[FreeCoursesOnline.Me] Coursera - convolutional-neural-networks

File List

Download Torrent

Related Resources

Copyright Infringement