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

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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
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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
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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
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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
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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
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