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| [FreeCoursesOnline.Me].url |
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| [FreeTutorials.Eu].url |
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| [FTU Forum].url |
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| 01__resources.html |
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| 01_art-generation-with-neural-style-transfer_instructions.html |
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| 01_car-detection-with-yolov2_instructions.html |
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| 01_computer-vision_C4W1L01_ComputerVision.pptx |
5.77Мб |
| 01_computer-vision.en.srt |
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| 01_computer-vision.en.txt |
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| 01_computer-vision.ja.srt |
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| 01_computer-vision.ja.txt |
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| 01_computer-vision.ko.srt |
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| 01_computer-vision.ko.txt |
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| 01_computer-vision.mp4 |
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| 01_computer-vision.zh-CN.srt |
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| 01_computer-vision.zh-CN.txt |
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| 01_computer-vision.zh-TW.srt |
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| 01_computer-vision.zh-TW.txt |
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| 01_convolutional-model-step-by-step_instructions.html |
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| 01_object-localization_C4W3L01_ObjectLocalization.pptx |
8.60Мб |
| 01_object-localization.en.srt |
14.50Кб |
| 01_object-localization.en.txt |
8.96Кб |
| 01_object-localization.ja.srt |
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| 01_object-localization.ja.txt |
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| 01_object-localization.ko.srt |
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| 01_object-localization.ko.txt |
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| 01_object-localization.mp4 |
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| 01_object-localization.zh-CN.txt |
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| 01_object-localization.zh-TW.txt |
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| 01_residual-networks_instructions.html |
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| 01_using-open-source-implementation.en.srt |
6.75Кб |
| 01_using-open-source-implementation.en.txt |
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| 01_using-open-source-implementation.ja.srt |
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| 01_using-open-source-implementation.ja.txt |
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| 01_using-open-source-implementation.ko.srt |
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| 01_using-open-source-implementation.mp4 |
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| 01_using-open-source-implementation.zh-CN.txt |
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| 01_using-open-source-implementation.zh-TW.srt |
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| 01_using-open-source-implementation.zh-TW.txt |
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| 01_what-is-face-recognition_C4W4L01_WhatIsFaceRecog.pptx |
137.67Мб |
| 01_what-is-face-recognition.en.srt |
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| 01_what-is-face-recognition.en.txt |
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| 01_what-is-face-recognition.ja.srt |
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| 01_what-is-face-recognition.ko.srt |
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| 01_what-is-face-recognition.mp4 |
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| 01_what-is-face-recognition.tr.srt |
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| 01_what-is-face-recognition.tr.txt |
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| 01_what-is-face-recognition.zh-CN.srt |
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| 01_what-is-face-recognition.zh-CN.txt |
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| 01_what-is-face-recognition.zh-TW.srt |
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| 01_what-is-face-recognition.zh-TW.txt |
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| 01_what-is-neural-style-transfer_C4W4L06_WhatIsNeuralTransferStyle.pptx |
38.12Мб |
| 01_what-is-neural-style-transfer.en.srt |
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| 01_what-is-neural-style-transfer.en.txt |
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| 01_what-is-neural-style-transfer.ja.srt |
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| 01_what-is-neural-style-transfer.ko.srt |
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| 01_what-is-neural-style-transfer.zh-TW.txt |
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| 01_why-look-at-case-studies_C4W2L01_WhyLookAtCaseStudies.pptx |
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| 01_why-look-at-case-studies.en.srt |
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| 01_why-look-at-case-studies.en.txt |
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| 01_why-look-at-case-studies.ko.srt |
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| 01_why-look-at-case-studies.mp4 |
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| 01_yann-lecun-interview.en.srt |
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| 02_classic-networks_C4W2L02_ClassicNetworks.pptx |
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| 02_classic-networks.en.srt |
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| 02_convolutional-model-application_instructions.html |
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| 02_edge-detection-example_C4W1L02_EdgeDetectionExample.pptx |
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| 02_edge-detection-example.ko.srt |
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| 02_face-recognition-for-the-happy-house_instructions.html |
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| 02_landmark-detection_C4W3L02_LandmarkDetection.pptx |
20.18Мб |
| 02_landmark-detection.en.srt |
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| 02_one-shot-learning_C4W4L02_OneShotLearning.pptx |
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6.51Кб |
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| 02_transfer-learning.en.srt |
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| 02_what-are-deep-convnets-learning_C4W4L07_WhatAreDeepCNsLearning.pptx |
21.18Мб |
| 02_what-are-deep-convnets-learning.en.srt |
10.93Кб |
| 02_what-are-deep-convnets-learning.en.txt |
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| 02_what-are-deep-convnets-learning.ja.srt |
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| 02_what-are-deep-convnets-learning.mp4 |
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| 03_cost-function_C4W4L08_CostFunction.pptx |
34.24Мб |
| 03_cost-function.en.srt |
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| 03_data-augmentation.af.srt |
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| 03_more-edge-detection_C4W1L03_MoreEdgeDetection.pptx |
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| 03_object-detection_C4W3L03_ObjectDetection.pptx |
23.75Мб |
| 03_object-detection.en.srt |
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| 03_object-detection.en.txt |
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| 03_object-detection.ja.srt |
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| 03_resnets_C4W2L03_ResNets.pptx |
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| 03_resnets.en.srt |
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| 03_siamese-network_C4W4L03_SiameseNetwork.pptx |
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| 04_content-cost-function_C4W4L09_ContentCostFunction.pptx |
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| 04 convolutional-implementation-of-sliding-windows C4W3L04 ConvImpSlidingWindows pptx |
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| 04_padding_C4W1L04_Padding.pptx |
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| 04_state-of-computer-vision.en.srt |
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| 04_triplet-loss_C4W4L04_TripletLoss.pptx |
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| 04_why-resnets-work.en.srt |
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| 05_bounding-box-predictions.en.srt |
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| 05 face-verification-and-binary-classification C4W4L05 FaceVerifABinaryClass pptx |
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| 05 networks-in-networks-and-1x1-convolutions C4W2L05 NetworkinNetworkand1x1 pptx |
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| 05_strided-convolutions_C4W1L05_StridedConv.pptx |
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| 05_style-cost-function_C4W4L10_StyleCostFunction.pptx |
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| 06_1d-and-3d-generalizations_C4W4L11_1D3DGeneralizations.pptx |
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| 06_convolutions-over-volume_C4W1L06_ConvolutionsOverVolumes.pptx |
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| 06_inception-network-motivation_C4W2L06_InceptionNetworkMotivation.pptx |
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| 06_intersection-over-union_C4W3L06_InstersecOverUnion.pptx |
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| 07_inception-network_C4W2L07_InceptionNetwork.pptx |
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| 07_non-max-suppression_C4W3L07_NonmaxSuppression.pptx |
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| 07_one-layer-of-a-convolutional-network.en.srt |
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| 08_anchor-boxes_C4W3L08_AnchorBoxes.pptx |
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| 08_simple-convolutional-network-example_C4W1L08_SimpleCNNExample.pptx |
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| 09_pooling-layers_C4W1L09_PoolingLayers.pptx |
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| 09_yolo-algorithm_C4W3L09_YOLOAlgorithm.pptx |
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| 10_cnn-example_C4W1L10_CNNExample.pptx |
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| 10_optional-region-proposals_C4W3L10_RegionProposals.pptx |
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| 10_optional-region-proposals.mp4 |
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| 11_why-convolutions_C4W1L11_WhyConvs.pptx |
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| 11_why-convolutions.mp4 |
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