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[FreeCoursesOnline.Me].url |
133B |
[FreeTutorials.Eu].url |
129B |
[FTU Forum].url |
1.34KB |
01__resources.html |
1.51KB |
01_art-generation-with-neural-style-transfer_instructions.html |
1.05KB |
01_car-detection-with-yolov2_instructions.html |
1.03KB |
01_computer-vision_C4W1L01_ComputerVision.pptx |
5.77MB |
01_computer-vision.en.srt |
8.89KB |
01_computer-vision.en.txt |
5.40KB |
01_computer-vision.ja.srt |
9.86KB |
01_computer-vision.ja.txt |
6.38KB |
01_computer-vision.ko.srt |
10.57KB |
01_computer-vision.ko.txt |
7.09KB |
01_computer-vision.mp4 |
7.63MB |
01_computer-vision.zh-CN.srt |
8.08KB |
01_computer-vision.zh-CN.txt |
4.60KB |
01_computer-vision.zh-TW.srt |
7.84KB |
01_computer-vision.zh-TW.txt |
4.36KB |
01_convolutional-model-step-by-step_instructions.html |
1.04KB |
01_object-localization_C4W3L01_ObjectLocalization.pptx |
8.60MB |
01_object-localization.en.srt |
14.50KB |
01_object-localization.en.txt |
8.96KB |
01_object-localization.ja.srt |
15.25KB |
01_object-localization.ja.txt |
9.72KB |
01_object-localization.ko.srt |
17.54KB |
01_object-localization.ko.txt |
11.94KB |
01_object-localization.mp4 |
15.36MB |
01_object-localization.zh-CN.srt |
13.19KB |
01_object-localization.zh-CN.txt |
7.66KB |
01_object-localization.zh-TW.srt |
12.84KB |
01_object-localization.zh-TW.txt |
7.31KB |
01_residual-networks_instructions.html |
1.03KB |
01_using-open-source-implementation.en.srt |
6.75KB |
01_using-open-source-implementation.en.txt |
4.37KB |
01_using-open-source-implementation.ja.srt |
7.69KB |
01_using-open-source-implementation.ja.txt |
5.31KB |
01_using-open-source-implementation.ko.srt |
7.65KB |
01_using-open-source-implementation.ko.txt |
5.22KB |
01_using-open-source-implementation.mp4 |
8.14MB |
01_using-open-source-implementation.tr.srt |
6.70KB |
01_using-open-source-implementation.tr.txt |
4.31KB |
01_using-open-source-implementation.zh-CN.srt |
5.86KB |
01_using-open-source-implementation.zh-CN.txt |
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01_using-open-source-implementation.zh-TW.srt |
5.82KB |
01_using-open-source-implementation.zh-TW.txt |
3.44KB |
01_what-is-face-recognition_C4W4L01_WhatIsFaceRecog.pptx |
137.67MB |
01_what-is-face-recognition.en.srt |
6.56KB |
01_what-is-face-recognition.en.txt |
4.08KB |
01_what-is-face-recognition.ja.srt |
6.72KB |
01_what-is-face-recognition.ja.txt |
4.24KB |
01_what-is-face-recognition.ko.srt |
7.41KB |
01_what-is-face-recognition.ko.txt |
4.93KB |
01_what-is-face-recognition.mp4 |
8.41MB |
01_what-is-face-recognition.tr.srt |
6.69KB |
01_what-is-face-recognition.tr.txt |
4.19KB |
01_what-is-face-recognition.zh-CN.srt |
5.90KB |
01_what-is-face-recognition.zh-CN.txt |
3.42KB |
01_what-is-face-recognition.zh-TW.srt |
6.09KB |
01_what-is-face-recognition.zh-TW.txt |
3.61KB |
01_what-is-neural-style-transfer_C4W4L06_WhatIsNeuralTransferStyle.pptx |
38.12MB |
01_what-is-neural-style-transfer.en.srt |
2.79KB |
01_what-is-neural-style-transfer.en.txt |
1.73KB |
01_what-is-neural-style-transfer.ja.srt |
2.96KB |
01_what-is-neural-style-transfer.ja.txt |
1.91KB |
01_what-is-neural-style-transfer.ko.srt |
3.31KB |
01_what-is-neural-style-transfer.ko.txt |
2.26KB |
01_what-is-neural-style-transfer.mp4 |
2.99MB |
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3.03KB |
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01_what-is-neural-style-transfer.zh-TW.txt |
1.41KB |
01_why-look-at-case-studies_C4W2L01_WhyLookAtCaseStudies.pptx |
90.56KB |
01_why-look-at-case-studies.en.srt |
4.81KB |
01_why-look-at-case-studies.en.txt |
3.06KB |
01_why-look-at-case-studies.ja.srt |
5.62KB |
01_why-look-at-case-studies.ja.txt |
3.87KB |
01_why-look-at-case-studies.ko.srt |
5.55KB |
01_why-look-at-case-studies.ko.txt |
3.80KB |
01_why-look-at-case-studies.mp4 |
4.67MB |
01_why-look-at-case-studies.tr.srt |
5.20KB |
01_why-look-at-case-studies.tr.txt |
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01_why-look-at-case-studies.zh-CN.txt |
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01_why-look-at-case-studies.zh-TW.srt |
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01_why-look-at-case-studies.zh-TW.txt |
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01_yann-lecun-interview.en.srt |
40.95KB |
01_yann-lecun-interview.en.txt |
25.16KB |
01_yann-lecun-interview.mp4 |
75.53MB |
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01_yann-lecun-interview.tr.txt |
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02_classic-networks_C4W2L02_ClassicNetworks.pptx |
336.09KB |
02_classic-networks.en.srt |
24.53KB |
02_classic-networks.en.txt |
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02_classic-networks.mp4 |
22.75MB |
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02_classic-networks.zh-TW.txt |
11.49KB |
02_convolutional-model-application_instructions.html |
1.04KB |
02_edge-detection-example_C4W1L02_EdgeDetectionExample.pptx |
6.61MB |
02_edge-detection-example.en.srt |
14.45KB |
02_edge-detection-example.en.txt |
8.78KB |
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9.15KB |
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10.39KB |
02_edge-detection-example.mp4 |
13.91MB |
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14.52KB |
02_edge-detection-example.tr.txt |
9.15KB |
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12.59KB |
02_edge-detection-example.zh-CN.txt |
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02_edge-detection-example.zh-TW.srt |
12.28KB |
02_edge-detection-example.zh-TW.txt |
6.92KB |
02_face-recognition-for-the-happy-house_instructions.html |
1.04KB |
02_landmark-detection_C4W3L02_LandmarkDetection.pptx |
20.18MB |
02_landmark-detection.en.srt |
7.67KB |
02_landmark-detection.en.txt |
4.69KB |
02_landmark-detection.ja.srt |
8.26KB |
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5.28KB |
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8.96KB |
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5.98KB |
02_landmark-detection.mp4 |
8.17MB |
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02_one-shot-learning_C4W4L02_OneShotLearning.pptx |
32.19MB |
02_one-shot-learning.en.srt |
6.51KB |
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02_transfer-learning.ja.txt |
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02_transfer-learning.mp4 |
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02_what-are-deep-convnets-learning_C4W4L07_WhatAreDeepCNsLearning.pptx |
21.18MB |
02_what-are-deep-convnets-learning.en.srt |
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02_what-are-deep-convnets-learning.en.txt |
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02_what-are-deep-convnets-learning.ko.txt |
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02_what-are-deep-convnets-learning.mp4 |
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02_what-are-deep-convnets-learning.tr.txt |
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02_what-are-deep-convnets-learning.zh-CN.txt |
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02_what-are-deep-convnets-learning.zh-TW.srt |
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02_what-are-deep-convnets-learning.zh-TW.txt |
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03_cost-function_C4W4L08_CostFunction.pptx |
34.24MB |
03_cost-function.en.srt |
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03_cost-function.en.txt |
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03_cost-function.mp4 |
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03_data-augmentation.af.srt |
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03_more-edge-detection_C4W1L03_MoreEdgeDetection.pptx |
189.50KB |
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03_more-edge-detection.mp4 |
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03_object-detection_C4W3L03_ObjectDetection.pptx |
23.75MB |
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03_resnets_C4W2L03_ResNets.pptx |
185.57KB |
03_resnets.en.srt |
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03_resnets.en.txt |
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03_resnets.mp4 |
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03_siamese-network_C4W4L03_SiameseNetwork.pptx |
8.56MB |
03_siamese-network.en.srt |
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04_content-cost-function_C4W4L09_ContentCostFunction.pptx |
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04 convolutional-implementation-of-sliding-windows C4W3L04 ConvImpSlidingWindows pptx |
17.56MB |
04_convolutional-implementation-of-sliding-windows.en.srt |
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04_padding_C4W1L04_Padding.pptx |
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04_state-of-computer-vision.mp4 |
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04_triplet-loss_C4W4L04_TripletLoss.pptx |
59.48MB |
04_triplet-loss.en.srt |
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15.00KB |
04_triplet-loss.mp4 |
19.71MB |
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11.11KB |
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04_why-resnets-work.en.srt |
11.39KB |
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04_why-resnets-work.mp4 |
11.92MB |
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10.18KB |
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05_bounding-box-predictions.en.srt |
20.00KB |
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20.41KB |
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12.03KB |
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21.99KB |
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13.62KB |
05_bounding-box-predictions.mp4 |
19.58MB |
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31.72KB |
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17.63KB |
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05 face-verification-and-binary-classification C4W4L05 FaceVerifABinaryClass pptx |
29.25MB |
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7.83KB |
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8.58KB |
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5.57KB |
05_face-verification-and-binary-classification.mp4 |
7.87MB |
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8.03KB |
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4.14KB |
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6.89KB |
05_face-verification-and-binary-classification.zh-TW.txt |
3.88KB |
05 networks-in-networks-and-1x1-convolutions C4W2L05 NetworkinNetworkand1x1 pptx |
218.85KB |
05_networks-in-networks-and-1x1-convolutions.en.srt |
8.47KB |
05_networks-in-networks-and-1x1-convolutions.en.txt |
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9.39KB |
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6.04KB |
05_networks-in-networks-and-1x1-convolutions.mp4 |
8.19MB |
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8.27KB |
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4.92KB |
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7.65KB |
05_networks-in-networks-and-1x1-convolutions.zh-CN.txt |
4.31KB |
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7.53KB |
05_networks-in-networks-and-1x1-convolutions.zh-TW.txt |
4.18KB |
05_strided-convolutions_C4W1L05_StridedConv.pptx |
201.29KB |
05_strided-convolutions.en.srt |
10.95KB |
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6.81KB |
05_strided-convolutions.ja.srt |
11.05KB |
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6.92KB |
05_strided-convolutions.ko.srt |
11.34KB |
05_strided-convolutions.ko.txt |
7.21KB |
05_strided-convolutions.mp4 |
10.98MB |
05_strided-convolutions.tr.srt |
11.09KB |
05_strided-convolutions.tr.txt |
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9.48KB |
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5.35KB |
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9.17KB |
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5.03KB |
05_style-cost-function_C4W4L10_StyleCostFunction.pptx |
624.66KB |
05_style-cost-function.en.srt |
16.68KB |
05_style-cost-function.en.txt |
10.09KB |
05_style-cost-function.ja.srt |
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10.27KB |
05_style-cost-function.ko.srt |
19.04KB |
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12.44KB |
05_style-cost-function.mp4 |
16.36MB |
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16.94KB |
05_style-cost-function.tr.txt |
10.35KB |
05_style-cost-function.zh-CN.srt |
14.81KB |
05_style-cost-function.zh-CN.txt |
8.22KB |
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14.75KB |
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06_1d-and-3d-generalizations_C4W4L11_1D3DGeneralizations.pptx |
2.98MB |
06_1d-and-3d-generalizations.en.srt |
11.36KB |
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11.59KB |
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12.75KB |
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8.68KB |
06_1d-and-3d-generalizations.mp4 |
11.32MB |
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12.18KB |
06_1d-and-3d-generalizations.tr.txt |
8.12KB |
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10.20KB |
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10.09KB |
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06_convolutions-over-volume_C4W1L06_ConvolutionsOverVolumes.pptx |
223.38KB |
06_convolutions-over-volume.en.srt |
13.64KB |
06_convolutions-over-volume.en.txt |
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06_convolutions-over-volume.ja.srt |
13.91KB |
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06_convolutions-over-volume.ko.srt |
14.74KB |
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06_convolutions-over-volume.mp4 |
12.89MB |
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12.06KB |
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06_inception-network-motivation_C4W2L06_InceptionNetworkMotivation.pptx |
229.82KB |
06_inception-network-motivation.en.srt |
12.98KB |
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06_inception-network-motivation.mp4 |
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06_intersection-over-union_C4W3L06_InstersecOverUnion.pptx |
4.27MB |
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5.54KB |
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06_intersection-over-union.mp4 |
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06_intersection-over-union.sq.srt |
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06_intersection-over-union.ta.srt |
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06_intersection-over-union.th.srt |
5.53KB |
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06_intersection-over-union.tr.srt |
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06_intersection-over-union.tr.txt |
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06_intersection-over-union.zh-CN.srt |
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06_intersection-over-union.zh-TW.txt |
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07_inception-network_C4W2L07_InceptionNetwork.pptx |
3.98MB |
07_inception-network.en.srt |
10.75KB |
07_inception-network.en.txt |
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07_inception-network.mp4 |
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9.45KB |
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07_non-max-suppression_C4W3L07_NonmaxSuppression.pptx |
1.87MB |
07_non-max-suppression.en.srt |
11.88KB |
07_non-max-suppression.en.txt |
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07_non-max-suppression.ja.srt |
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07_non-max-suppression.mp4 |
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07_one-layer-of-a-convolutional-network.en.srt |
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07_one-layer-of-a-convolutional-network.en.txt |
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07_one-layer-of-a-convolutional-network.ko.txt |
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07_one-layer-of-a-convolutional-network.mp4 |
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08_anchor-boxes_C4W3L08_AnchorBoxes.pptx |
5.76MB |
08_anchor-boxes.en.srt |
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08_anchor-boxes.en.txt |
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08_anchor-boxes.ja.srt |
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08_anchor-boxes.ko.txt |
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08_anchor-boxes.mp4 |
13.47MB |
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08_simple-convolutional-network-example_C4W1L08_SimpleCNNExample.pptx |
174.24KB |
08_simple-convolutional-network-example.en.srt |
9.79KB |
08_simple-convolutional-network-example.en.txt |
5.96KB |
08_simple-convolutional-network-example.ja.srt |
10.52KB |
08_simple-convolutional-network-example.ja.txt |
6.70KB |
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10.99KB |
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08_simple-convolutional-network-example.mp4 |
10.39MB |
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09_pooling-layers_C4W1L09_PoolingLayers.pptx |
156.63KB |
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09_pooling-layers.mp4 |
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09_yolo-algorithm_C4W3L09_YOLOAlgorithm.pptx |
4.96MB |
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09_yolo-algorithm.mp4 |
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10_cnn-example_C4W1L10_CNNExample.pptx |
179.14KB |
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15.34KB |
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10_cnn-example.mp4 |
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10_optional-region-proposals_C4W3L10_RegionProposals.pptx |
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11_why-convolutions_C4W1L11_WhyConvs.pptx |
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